AI Fluency: The Complete Beginner's Guide to Using AI

Step into the evolving world of artificial intelligence by understanding the foundations of the OpenAI ecosystem including machine learning, deep learning, and key terminology that drives modern innovation. The journey begins with a clear introduction to tools, use cases, and the growing role of AI in business and society, helping learners build a strong conceptual base. Progress into mastering ChatGPT with a hands on exploration of its interface customization features and advanced capabilities such as document analysis, voice interaction, and agent mode. Learners will also explore tools like Sora and DALL-E to generate images and media while understanding how to build workflows that turn ideas into scalable outputs across different formats. As the course unfolds it dives into customization through GPTs, fine tuning, and plugins followed by practical applications in content creation, marketing, and sales strategies. The learning path concludes with career focused modules covering job search optimization, networking, and long term planning alongside AgentKit usage and future trends, empowering learners to apply AI effectively in real world scenarios.

AI assistance can reduce repetitive work when users understand how to provide context, shape prompts, and choose the right Microsoft 365 experience. This beginner-friendly guide connects Copilot capabilities to everyday business tasks rather than treating prompting as an isolated skill. The course begins with the Copilot ecosystem, secure data use, access, licensing, settings, and responsible AI principles. It then develops prompt-writing techniques through practical examples in Word, Excel, Outlook, SharePoint, Teams, Viva Engage, Windows, and Edge, including document creation, data cleanup, summaries, meeting support, and collaboration. Learners build confidence turning files, templates, conversations, and business inputs into useful outputs. They also learn to check feature availability, refine inaccurate responses, and select appropriate settings for each scenario. By the end of this course, you will be able to use Copilot across common Microsoft 365 workflows with greater speed, structure, and control.

AI-assisted development is changing how software gets planned, built, reviewed, and shipped. Rather than treating AI as a shortcut, the material frames it as a creative and technical partner that still requires direction, judgment, and clear constraints. Learners see how modern tools can support faster project delivery while keeping quality, context, and maintainability in focus.The learning path moves from mindset and workflow into tool comparison, prompt design, local setup, version control, and project execution. Learners work with ChatGPT, Gemini, Claude, GitHub Copilot, Cursor, Zed, Visual Studio Code, Node.js, GitHub, MCP, Ollama, and portfolio-focused web projects. Each section adds practical habits for planning, testing, refining, and choosing the right AI partner for the task.Hands-on builds include games, generators, news and podcast apps, recipes, PWAs, data-connected projects, and a professional portfolio site. By the end of this course, learners can direct AI tools with confidence, build and deploy practical web apps, explain their workflow, and present a portfolio that reflects real AI-augmented development skill.Key benefitsPractical AI coding workflow for planning, prompting, reviewing, and shipping polished web appsStructured comparison of ChatGPT, Gemini, Claude, Copilot, Cursor, and Zed for coding tasksPortfolio-centered projects covering games, apps, PWAs, data, deployment, and interview prepWhat you will learnDirect AI tools to plan and build web applicationsCompare ChatGPT, Gemini, Claude, Copilot, Cursor, and ZedWrite prompts that produce cleaner, testable codeConfigure a modern web development environmentBuild portfolio projects with AI-assisted workflowsRefine AI-generated applications for deployment and presentationWho this course is forBeginners who want to build software with AI, self-taught learners seeking a portfolio, and developers who want to update their workflow with ChatGPT, Gemini, Claude, GitHub Copilot, Cursor, Zed, and open-source tools. Basic comfort with using a computer is enough; programming experience helps but is not required by the source.Course contentsIntroductionVibe Coding & Web DesignBecoming a DirectorChoose Your AI Partner (ChatGPT, Gemini, Claude)Developer SetupProjectsReaction Game (Claude)Compliment & Joke Generator (Gemini)Palette Font Kit (ChatGPT)Integrated AI Code Editors (Copilot, Cursor, Zed)Scoundrel Game (Copilot)News Reader (Copilot)Podcast Player (Copilot)Recipes (Cursor)Deeper AI Integration (CLI & MCP)Open-Source AICreate Your Developer Portfolio (Cursor)The Vibe Coder's CareerAppendix:

Generative AI creates business value when systems are designed with clear architecture, reliable model choices, strong prompts, and repeatable quality controls. Professionals need a foundation that goes beyond basic AI use and explains how scalable applications are structured, integrated, measured, and improved.The course covers the impact of generative AI on engineering, system architecture fundamentals, local and cloud development environments, enterprise implementation stories, LLM components, model comparison, API setup, strategic model selection, enterprise application matrices, industry-specific solution architecture, support assistant design, and ROI measurement. It then moves into prompt engineering principles, structural prompt elements, interactive prompt building, design patterns, multi-step prompt chains, context window optimization, implementation guides, error handling, support bot conversation design, response templates, template systems, and quality assurance testing.Learners will gain the ability to design GenAI applications, compare enterprise LLM integration options, build prompt strategies for business use cases, optimize prompt chains, and develop customer support conversation systems. These skills support software, product, data, and business roles working with AI-powered solutions.Key benefitsGenAI architecture foundation spanning LLM mechanics, environments, APIs, and model selectionPrompt strategy coverage with patterns, chains, context optimization, templates, and errorsCustomer support application path with conversation design, QA testing, ROI, and metrics reviewWhat you will learnApply GenAI architecture principlesCompare enterprise LLM integration optionsConstruct prompt patterns for business casesOptimize prompt chains and context windowsDevelop support conversation systemsTest AI outputs with QA frameworksWho this course is forSoftware engineers, product managers, data scientists, and business analysts will benefit. The course is suited to professionals exploring AI integration, AI-driven product solutions, generative AI expansion, workflow optimization, decision support, and customer support automation.Course contentsIntroductionFoundationsPrompt EngineeringConclusion

This course begins with a foundational introduction to AI, LLMs, and AI agents, establishing why Claude Cowork is a powerful productivity tool. You’ll learn which plans and setups are best, how to install the desktop app, and the core concepts behind giving AI controlled access to your work. By guiding you through project organization and folder permissions, it ensures you maintain complete control while maximizing automation.Next, the masterclass focuses on practical application. Assigning tasks, handling messy folders, and converting raw data into reports and spreadsheets become intuitive. You’ll also explore scheduling recurring tasks, creating workflows, and linking external apps and browsers to Cowork. This segment emphasizes a smooth integration between your existing tools and AI-powered efficiency.The final section dives into advanced features, including plugins, domain-specific skills, sub-agents, and mobile task management. You’ll discover how to extend Cowork’s capabilities via marketplace plugins and optimize remote work. By the end, learners gain the confidence to automate complex processes, maintain control over sensitive files, and harness AI as a reliable collaborator across professional tasks.Key benefitsComprehensive overview of Claude Cowork setup, access control, and workspace managementPractical guidance on automating tasks, reports, and recurring workflows efficientlyAdvanced integration techniques using plugins, skills, and remote task assignmentWhat you will learnAssign and automate tasks using Claude Cowork efficientlyOrganize projects and folders for seamless AI collaborationGenerate reports and documents from raw files with AISchedule recurring workflows for consistent productivityConnect Cowork to apps and browsers for enhanced utilityExtend Cowork using plugins and domain-specific AI skillsWho this course is forThis masterclass is designed for professionals, managers, and knowledge workers seeking to enhance productivity through AI. No prior coding experience is needed, though familiarity with desktop apps and cloud tools is beneficial. It is ideal for those aiming to streamline workflows, automate recurring tasks, and integrate AI with existing software in their daily work.Course contentsIntroductionUnderstanding CoworkGiving Cowork Access to Your WorkRunning Your First TasksWorking with Local Files and DocumentsScheduled and Recurring TasksConnecting to Your Apps and BrowsersPlugins, Skills, and Sub-AgentsMobile and Remote Work

This course introduces learners to generative AI, large language models (LLMs), and retrieval-augmented generation (RAG). Beginning with foundational AI concepts and practical applications, participants explore how generative AI tools like ChatGPT, Gemini, and Midjourney produce high-quality images and videos. The course then dives into the mechanics of transformers, helping learners understand how LLMs generate and process language.

Focusing on practical techniques, students will master prompt engineering, including zero-shot and few-shot prompting, and learn how to evaluate and optimize AI models. Case studies provide real-world insights into refining prompts for different scenarios. The course also covers multimodal models and the transformative power of RAG in enhancing AI's capabilities.

By the end, learners will be proficient in using LLMs, designing optimized prompts, and exploring cutting-edge applications of generative AI, making this course essential for professionals looking to leverage AI in real-world projects.

Key benefits
Gain in-depth knowledge of generative AI technologies like LLMs and RAG
Learn practical prompt engineering techniques for AI model optimization
Explore real-world applications through case studies and hands-on examples

What you will learn
Understand the fundamentals of generative AI technologies
Explore the power of Transformers and their role in LLMs
Master the art of writing effective and precise AI prompts
Learn how retrieval-augmented generation (RAG) enhances AI outputs
Analyze practical case studies on AI image and video generation
Evaluate and refine prompts for better AI model performance

Who this course is for
This course is designed for technical professionals, AI enthusiasts, and individuals eager to dive into the rapidly evolving world of generative AI and LLMs. It’s ideal for software developers, data scientists, machine learning engineers, and anyone interested in AI applications. No prior knowledge of AI is required, but a basic understanding of programming and machine learning concepts will be helpful. Participants should be motivated to learn practical skills for applying generative AI and prompt engineering in real-world scenarios.

Course contents
Introduction
Generating Images and Video with AI Using Midjourney, ChatGPT, Gemini, and More
What Are Transformers and How Do LLMs Work

In this course, you will explore the full potential of NotebookLM, an AI-powered platform designed to enhance note-taking and knowledge management. You will begin by learning the basics of NotebookLM, understanding its unique features, and how it differentiates from traditional note-taking applications. As you move through the course, you’ll learn how to create and organize notes efficiently, using AI tools to generate summaries and extract key insights, making your information more accessible and actionable. We will also cover advanced techniques for conducting research, managing external sources, and categorizing your notes to ensure smooth retrieval. The course highlights how to automate repetitive tasks, brainstorm ideas more effectively, and convert your notes into actionable tasks. With integrations into Google Workspace, you learn how to collaborate with teams and streamline workflows. In real-world applications, you will learn how to create interactive quizzes, organize articles, and use audio summaries for interviews. The course also addresses ethical considerations, limitations, and the future impact of AI in knowledge management. By the end of this course, you will have the skills to organize and manage knowledge effectively with NotebookLM, enhancing your personal or team productivity. Key benefits: AI tools for smarter note-taking and knowledge management, Integration with Google Workspace for enhanced collaboration and productivity, Real-world applications, including quiz creation, article organization, and interview summaries. What you will learn: Create, organize, and manage notes efficiently using AI-driven tools in NotebookLM, Generate summaries and extract insights from your notes with AI assistance, Conduct research and manage information with tagging and categorization, Automate repetitive tasks and turn notes into actionable items, Collaborate with teams and manage shared knowledge in NotebookLM, Understand the ethical aspects and limitations of AI in knowledge management. Who this course is for: This course is designed for professionals, students, researchers, or anyone seeking to improve their knowledge management and productivity. Whether you're a content creator, project manager, or simply want to streamline your personal note-taking system, this course will help you make the most of NotebookLM’s AI-powered features. No prior AI experience is required. Course contents: Getting Started with Google NotebookLM, Smarter Notetaking with AI, AI-Powered Research & Knowledge Organization, Boosting Productivity with AI Workflows, Real-World Applications of NotebookLM, Responsible AI Use & Future Trends, Course Wrap-Up & Next Steps.

Claude AI offers a no-code platform designed for professionals to automate tasks, generate text, analyze data, and integrate with external apps. This course introduces Claude AI, its models, and practical applications such as generating clear text responses, analyzing complex data, and managing large documents. You’ll learn how to maintain conversation continuity, apply custom instructions for better outputs, and store key details with memory.

The course covers using constraints to ensure consistent outputs and transforming notes and files into finalized documents. You will also explore how to analyze data using charts and apply reasoning for complex problem-solving. Claude AI's long context window will help you efficiently work with large documents, and you’ll gain a deeper understanding of Claude’s capabilities for scaling your workflow.

The final sections show how to organize your work with projects and skills, and connect Claude AI to external apps using connectors. Additionally, you will learn how to use Claude directly in your browser through the Chrome extension. By the end of the course, you will have mastered Claude AI’s no-code tools for automating tasks, generating content, and enhancing your workflow with ease.

Key benefits
No-code setup and automation of tasks with Claude AI
Hands-on lessons with practical, real-world applications
Integration with external apps via connectors and browser use

What you will learn
Navigate Claude AI's platform and select appropriate models
Use prompt structures and custom instructions to get clear answers
Turn notes and files into polished documents using file uploads
Analyze data and detect patterns for better decision-making
Create reusable workflows and organize work using projects
Integrate Claude AI with external apps via connectors

Who this course is for
This course is designed for professionals who want to streamline their workflow using AI but have little or no coding experience. Whether you’re in project management, content creation, data analysis, or any field that benefits from automation, this course will empower you to leverage Claude AI’s no-code capabilities to increase your productivity and improve your work processes.

Course contents
Introduction
Getting Started
Getting Clear Answers
Text Generation and Working with Files
Research and Planning
Working with Images and Artifacts
Organising and Scaling Your Work
Connectors and Browser Use

This course explores the powerful capabilities of Notion AI to enhance productivity and streamline workflows. Learn to master Notion's essential functions, set up a personalized workspace, and efficiently organize information with AI-driven tools. Transform simple notes into actionable insights for both business and personal projects.As you progress, you will learn to apply Notion AI for business growth and strategy development. From building project pages to using AI commands for managing tasks, this course equips you with the tools to boost your productivity.This course is ideal for professionals, entrepreneurs, and anyone looking to enhance their productivity with AI-driven solutions. Whether you're managing personal projects or working within teams, the course will teach you how to organize and optimize your workflow with Notion’s advanced features.By the end of this course, you will be able to master Notion AI, create custom templates for business processes, and apply advanced strategies to streamline your daily tasks. You'll walk away with the skills to increase efficiency, foster collaboration, and build sustainable systems for long-term productivity.Key benefitsMaster Notion AI's functions and workspace customization.Learn to structure complex systems and notes with AI .Utilize business templates for strategy, project management, and productivity.What you will learnMaster Notion AI's functions for enhanced productivity.Create personalized workspaces to streamline your workflow.Organize and structure information using AI-driven tools.Build reusable templates for efficient task management.Implement best practices for optimizing Notion AI's potential.Develop strategies for business growth using Notion AI templates.Who this course is forThis course is perfect for professionals, entrepreneurs, and business owners aiming to enhance workflows with Notion AI. A basic understanding of productivity tools and a desire to improve personal or team efficiency will be helpful. No prior experience with Notion AI is required, making it accessible for beginners seeking to optimize their work processes. By the end of the course, you'll be able to harness AI-driven tools to streamline tasks and boost productivity. You'll learn to tailor Notion AI to fit your unique workflow needs.Course contentsMastering the Basics of Notion AIOrganizing and Structuring Your Information with Notion AINotion AI for Strategy, Systems & Business GrowthPrompting & AI Optimization in NotionTemplates & Advanced WorkflowsTheoretical Frameworks and Best Practices in Notion AILong-Term Systems & Course Wrap-Up

This course introduces AI tools like Claude, CustomGPTs, and Claude Code to enhance office productivity. You'll start by learning the basics of AI models, understanding their applications, and how to write effective prompts. We cover prompt and context engineering to help you craft your own prompt library, allowing you to tackle tasks like writing, summarizing documents, and conducting research with AI.As you progress, you'll explore more advanced tools, including Claude Projects and NotebookLM. These tools enable you to build custom AI-powered projects to automate tasks and improve office workflows. The course offers hands-on experience with these tools, empowering you to create tailored solutions.The final section covers Claude Code, designed for non-coders to automate office work. You’ll learn how to set up projects, use IDEs, terminals, and markdown files, and apply Claude Code to generate documents, analyze data, and automate various office tasks. By the end of the course, you’ll confidently integrate AI into your daily workflows without writing any code.Key benefitsComprehensive AI tools like Claude, CustomGPTs, and NotebookLM for office tasksLearn prompt engineering and build your own custom prompt libraryAutomate office tasks with Claude Code, no coding requiredWhat you will learnCraft effective prompts and create your own prompt librarySummarize, write, and rewrite documents and emails with AIAnalyze data and conduct research with AI-powered toolsBuild custom AI projects using Claude and ChatGPTUse Claude Code to automate office workflows and tasksUnderstand how to set up and use an IDE, terminal, and markdown files for AI projectsWho this course is forThis course is designed for non-coders, office workers, business professionals, and anyone interested in using AI to increase productivity. Whether you're new to AI or have some experience, this course will help you unlock AI’s potential for everyday work tasks.Course contentsIntroduction to AI for Office ProductivityPrompt and Context Engineering for Office ProductivityBeginner: Everyday Office Scenarios with AIIntermediate: CustomGPTs, Claude Projects and NotebookLMClaude Code for Non-Coding WorkWhat To Do Next

Vibe coding uses AI tools like Lovable, Windsurf, and Cursor to rapidly prototype applications, create responsive web pages, and generate documentation without deep coding knowledge.

The course offers a deep dive into Microsoft CoPilot, a cutting-edge AI tool designed to elevate productivity across various Microsoft 365 applications. Beginning with an introduction to CoPilot, learners will explore the key features of the platform, including its versions and comparison with other AI tools like ChatGPT. A key focus of this course is learning effective prompt-writing techniques to fully leverage CoPilot’s capabilities.As the course progresses, you will develop skills for data analysis and Excel mastery. From creating formulas to analyzing data with PivotTables and charts, the course offers a step-by-step approach to help users make the most of CoPilot's features. Practical lessons include sorting and filtering data, applying conditional formatting, and formulating questions to gain actionable insights from complex datasets. Additionally, the course highlights the integration of CoPilot in PowerPoint to create impactful presentations using branded templates and summarizing existing content for quick extraction.The course concludes with document drafting and editing, teaching learners to create, transform, and summarize content efficiently. By the end, students will be proficient in using Microsoft CoPilot across key Microsoft 365 tools to boost workflow and productivity.Key benefitsMaster effective use of Microsoft CoPilot in Excel, PowerPoint, and Word.Analyze data with advanced features such as PivotTables, charts, and formulas.Draft and edit documents with ease, utilizing CoPilot’s summarizing and content transformation features.What you will learnLearn to seamlessly integrate Microsoft CoPilot with Excel, PowerPoint, and Word for improved productivity across multiple tasks.Engage with interactive, real-world examples that demonstrate CoPilot's capabilities in data analysis, presentation creation, and document drafting.Master the art of writing precise prompts and efficiently managing tasks to get the most out of CoPilot's advanced AI tools.Who this course is forTechnical professionals, business analysts, data scientists, content creators, and anyone looking to boost their productivity using Microsoft 365 tools. Basic familiarity with Microsoft 365 tools such as Excel, PowerPoint, and Word. No prior experience with CoPilot is required.Course contentsIntroduction to Microsoft CopilotData Analysis and Excel Mastery With CopilotCopilot in PowerPoint: Presentation and Content CreationCopilot for Document Drafting and EditingCourse Wrap-Up

This course introduces Microsoft Copilot, an AI assistant designed to enhance productivity across Microsoft 365 apps. You’ll learn about the differences between Copilot Pro and Copilot for Microsoft 365 and gain access to helpful resources like the Adoption Center Library. The course covers Copilot's core functions and how it improves the Microsoft 365 experience.You will explore Copilot's functionality in Excel, where you'll automate tasks like formatting, formula creation, and data analysis with pivot tables. In PowerPoint, you’ll learn to create and modify presentations, use company-branded templates, and streamline the process using Copilot. The course also covers Copilot's capabilities in Word for drafting, editing, summarizing, and refining documents.Additionally, you'll discover how Copilot enhances communication and collaboration. In Outlook, Copilot helps draft emails, summarize replies, and improve your writing. The final sections focus on Microsoft Teams, OneNote, Loop, and Bing. Each section includes practical exercises to help you implement Copilot in your daily work and optimize productivity and collaboration.Key benefitsIntegration of Microsoft Copilot across multiple Microsoft 365 appsHands-on exercises to apply Copilot’s AI features in real-world tasksFocus on boosting productivity in Excel, PowerPoint, Word, and OutlookWhat you will learnExplore Microsoft Copilot's features across Microsoft 365 appsAutomate tasks and improve data analysis in Excel with CopilotCreate and enhance presentations in PowerPoint using CopilotDraft, edit, and refine documents in Word with Copilot assistanceImprove email writing and summarization in Outlook with CopilotCollaborate effectively in Teams, OneNote, and Loop using CopilotWho this course is forThis course is designed for beginners who want to get familiar with Microsoft Copilot across Microsoft 365 tools. No prior experience with Copilot is required, though basic knowledge of Microsoft Office apps is helpful. Whether you're a student, professional, or anyone looking to enhance productivity, this course will help you leverage AI to improve efficiency in your workflows.Course contentsIntroductionCopilot in ExcelCopilot in PowerPointCopilot in WordCopilot in OutlookThe Best of the RestCourse Close

This course introduces you to no-code web development with Windsurf and Vibe coding, guiding you step-by-step to bring your website ideas to life. The early modules cover the basics of Vibe coding, familiarizing you with the interface, tools, and principles behind Windsurf. You'll set up your workspace, navigate key features, and create your first website, progressing from simple concepts to more complex functionality. As you advance, you'll apply your learning in a hands-on project, turning a concept into a fully functional website. Each stage focuses not only on technical web design skills but on creative problem-solving for real-world challenges. The course emphasizes the importance of publishing your website with Vercel, allowing you to easily launch and manage your site online. The final section delves into more advanced topics, like AI tools such as Claude, GPT, and Gemini, exploring their role in web design and development. You’ll also get tips on troubleshooting bugs, making live website adjustments, and enhancing the user experience. By the course’s end, you’ll be equipped with the knowledge to confidently create and maintain websites - all without writing any code. Key benefits: Comprehensive introduction to Vibe coding and no-code web development, Practical project-based learning to build and publish websites, In-depth exploration of AI tools in web design and troubleshooting. What you will learn: Build functional websites using Windsurf and Vibe coding, Navigate and utilize no-code tools for web development, Design and deploy websites using Vercel, Solve common web design issues and troubleshoot bugs, Integrate AI tools like Claude, GPT, and Gemini in web projects, Manage live websites and make continuous improvements. Who this course is for: This course is perfect for beginners who are interested in web design but have little to no coding experience. It’s also suitable for entrepreneurs, marketers, or anyone who wants to build a website without the need for technical expertise. No prerequisites are required, though a basic understanding of design principles is helpful. Course contents: Everything You Need to Know About AI, Complete Project: From Idea to Live Website, What's Next?

Generative AI is changing how people create, analyze information, communicate, and solve problems across industries. A clear understanding of how these systems work helps learners move beyond surface-level tool use and make thoughtful decisions about where AI can add practical value, even without a technical background. The learning journey begins with the differences between artificial intelligence, machine learning, deep learning, and Generative AI. It then explains large language models, tokens, context windows, context engineering, prompt engineering, structured prompting, embeddings, and fine-tuning in plain English. Real-world examples show how AI supports software portfolios, customer review analysis, brand identity, presentations, and advertising, with an optional chatbot activity for hands-on practice. Beginners gain the vocabulary and confidence to discuss AI, evaluate common use cases, communicate more effectively with AI systems, and identify opportunities in their own studies or work. The practical examples also help learners connect core concepts to career development and responsible adoption. By the end of this course, you will understand essential Generative AI concepts and be ready to apply them to useful projects and workflows.

Discover how Base44 enables AI-assisted application development through the concept of vibe coding. This course introduces the Base44 platform and demonstrates how its integrated AI capabilities simplify the process of creating and refining applications without unnecessary complexity. You will begin by exploring the fundamentals of Base44 and vibe coding before taking a guided tour of the platform's interface and built-in features. As you progress, you will build an application step by step using AI-assisted workflows, gaining practical experience with the development process while learning how Base44 streamlines common development tasks. The course concludes by showing how AI can be used within Base44 to update your application's name and logo, helping you improve its branding and presentation. By the end of the course, you will understand the Base44 development workflow, confidently build applications using AI assistance, and apply practical vibe coding techniques to accelerate app development. Key benefits: Explore the Base44 interface and AI-powered development workflow. Build an application through guided vibe coding demonstrations. Update application branding using Base44's built-in AI features. What you will learn: Explore the fundamentals of Base44 and vibe coding. Navigate the Base44 development environment. Build an application using AI-assisted workflows. Refine application features within Base44. Update an application's name and logo using AI. Apply practical vibe coding techniques for app development. Who this course is for: This course is designed for software developers, no-code and low-code developers, AI application developers, product managers, startup founders, technical consultants, and citizen developers who want to build applications with AI. It is also ideal for professionals looking to explore Base44, adopt vibe coding workflows, and rapidly prototype and customize applications using AI. Course contents: Introduction to Vibe Coding With Base44 and AI, Getting Started With Vibe Coding and Base44, Vibe Coding: Building Apps With Base44 and the Power of AI.

AI video creation gives creators a faster way to turn ideas into visual stories without relying on a complex production setup. Google Flow and the Veo3 model combine text prompts, images, frames, motion, and native audio, making them relevant for social content, marketing, short films, and visual learning.

Beginning with the interface and project workflow, the lessons move from text-to-video generation to frame-based and ingredient-based methods. Prompt examples show how wording shapes scenes, while camera control, shot type, lighting, mood, dialogue, music, and sound effects add direction and atmosphere. The course also covers maintaining character and scene consistency across clips before bringing the results into Scenebuilder for sequencing and final changes.

Practical demonstrations help you develop repeatable methods for planning, generating, reviewing, and connecting AI video clips. You will be able to write more precise prompts, guide cinematic choices, use images and start or end frames, add native audio, and organize clips into a coherent production flow. By the end of this course, you will be ready to create consistent videos for social media, promotions, short narratives, education, or personal projects.

Key benefits
A complete Google Flow path covering prompts, frames, ingredients, audio, and Scenebuilder
Practical guidance for producing consistent cinematic clips without complex editing workflows
Step-by-step demonstrations linking prompt choices to camera, mood, sound, and sequence control

What you will learn
Write precise prompts for Google Flow and Veo3
Create videos from text, images, frames, and ingredients
Control camera movement, shot type, lighting, and mood
Maintain character and scene consistency across clips
Generate dialogue, music, and sound effects with Veo3
Assemble and refine complete sequences in Scenebuilder

Who this course is for
Designed for content creators, digital marketers, aspiring filmmakers, educators, trainers, and AI enthusiasts who want to produce videos from prompts and images. It also suits beginners exploring Google Flow and Veo3 for social media, YouTube, promotions, short films, or visual learning content. No prior experience is required.

Course contents
Introduction
Getting Started with Google Flow
Create Scenes - Text to Video
Create Scenes - Frames to Video
Create Scenes - Ingredients to Video
Working in Google Flow Scenebuilder
Closing Notes

This course begins by introducing Claude AI and explaining its core functions, interface, settings, and conversation tools. Learners start by crafting their first prompts and understanding what makes prompts effective, including context, length, and format management. Common prompting mistakes are highlighted with strategies for iterative and chain-of-thought prompting.
As the course advances, participants explore organizing projects, building knowledge bases, and utilizing memory features for continuity. Techniques for drafting professional documents, handling data in chat, and efficiently extracting or transforming content are demonstrated. Each module builds practical skills aligned with real-world tasks, ensuring learners can apply what they learn immediately.
The course concludes with a marketing manager workflow case study, showing how Claude streamlines projects, generates high-quality content, and improves productivity. Learners experience a complete journey from fundamentals to advanced applications, leaving with actionable AI skills for professional workflows and creative problem solving.
Key benefits:
- Professionals and managers looking to enhance productivity using AI tools
- Technical and non-technical users interested in mastering Claude AI
- Basic familiarity with digital productivity tools is helpful but not required

What you will learn:
- Master prompt creation and refinement for Claude AI
- Apply iterative and chain-of-thought prompting techniques
- Organize projects, knowledge bases, and workflow within Claude
- Draft professional documents and manipulate data in chat
- Extract and transform content efficiently for real-world tasks
- Implement AI tools to optimize productivity in professional workflows

Who this course is for:
This course is ideal for professionals, managers, and knowledge workers seeking to maximize productivity using Claude AI. It is suited for technical and non-technical learners alike who want to master prompts, manage projects, handle data efficiently, and apply AI-driven workflows. No prior AI experience is required, though familiarity with digital tools is helpful.

Course contents:
- Claude Chat
- Case Study: Marketing Manager Workflow

Artificial Intelligence is transforming every industry, creating opportunities for professionals who understand its foundations. This beginner-friendly course introduces the core concepts of AI, Machine Learning, and Deep Learning, helping learners build a strong understanding of the technologies driving today's intelligent applications.

The learning journey begins with course setup guidance and optional refreshers on Python, Jupyter Notebook, and essential data science tools. It then revisits key mathematical concepts including statistics, probability, functions, and calculus before exploring data fundamentals. Learners are introduced to Machine Learning terminology, learning workflows, regression techniques, decision trees, neural networks, K-Means clustering, and model evaluation methods.

The course concludes with an overview of advanced algorithms and practical insights into solving business problems using AI. Through clear explanations, examples, quizzes, and optional demonstrations using popular libraries, learners gain both conceptual understanding and industry-relevant knowledge. By the end of this course, you will understand AI fundamentals, interpret Machine Learning and Deep Learning algorithms, evaluate model performance, and confidently pursue further learning, projects, and certification opportunities.

Key benefits
Comprehensive coverage of AI foundations from mathematics to advanced algorithms
Clear explanation of major learning models for stronger conceptual understanding
Structured progression supported by examples quizzes and optional demonstrations

What you will learn
Understand essential AI, Machine Learning, and Deep Learning terms
Analyze data concepts that support intelligent model creation
Explain regression methods used for predictive analytics tasks
Interpret decision trees and clustering model behavior clearly
Evaluate model performance using common assessment techniques
Apply AI concepts to solve practical business problem scenarios

Who this course is for
This course is designed for aspiring AI practitioners, university students, business professionals, technology managers, and IT specialists seeking a clear understanding of Artificial Intelligence. It is equally suitable for non-technical learners who want to understand how AI impacts modern business and society. Learners with basic knowledge of mathematics, including probability, statistics, calculus, and linear algebra, will benefit most. Anyone exploring AI careers, certification paths, or technology-driven decision-making will find this course valuable.

Course contents
Introduction
Math Refresher
Data Concepts
Machine Learning and Deep Learning
Regression
Decision Trees
Neural Networks
K Means
Estimating Performance
Advanced Algorithms
Closing Thoughts

This course provides an in-depth understanding of AI governance and ethics, starting with the fundamentals of responsible AI development. You will learn about key ethical principles and frameworks that guide AI innovation, along with ethical challenges such as bias, fairness, and transparency.As you progress, you'll dive into critical topics like privacy, data security, and ethical data management. You’ll gain practical insights into the risks of AI deployment and the essential strategies to mitigate those risks.This course is designed for AI professionals, ethical AI leaders, and policymakers aiming to enhance their understanding of responsible AI practices. It’s also suitable for anyone involved in the design, implementation, or regulation of AI systems, including developers, data scientists, and security officers.By the end of this course, you will have gained a thorough understanding of AI ethics, governance, and policy development. You will be able to navigate AI risks, tackle issues like bias and fairness, and implement ethical AI practices. Additionally, you’ll be prepared to lead the charge in creating and enforcing responsible AI policies, making you an essential asset in shaping the future of AI across industries.Key benefitsComprehensive overview of AI ethics and governanceReal-world case studies and demonstrationsFocus on responsible AI development practicesWhat you will learnUnderstand key ethical principles and frameworks in AIAnalyze and mitigate risks related to AI development and deploymentDevelop policies and leadership strategies for ethical AI governanceNavigate the challenges of bias, fairness, and transparency in AIApply ethical data management practices in AI systemsUnderstand the social impacts of AI, including job displacement and social goodWho this course is forThis course is ideal for AI professionals, policymakers, ethics officers, and anyone involved in AI system development, implementation, or regulation. It’s also perfect for those looking to enhance their knowledge of responsible AI practices and governance. A basic understanding of AI principles is beneficial, but not required. This course will help professionals lead ethical AI initiatives and shape responsible AI policies across industries.Course contentsIntroductionModule 1 - Introduction to AI EthicsModule 2 - Responsible AI DevelopmentModule 3 - Privacy and Security in AIModule 4 - Social and Ethical Impacts of AIModule 5 - Policy Development

In this course, you’ll discover how generative AI can optimize your daily development tasks, improving both efficiency and the quality of your work. We take a hands-on approach, guiding you through real-world applications where AI tools can help you stay on top of your responsibilities. From the moment you start your day, AI will assist in organizing your inbox, crafting clearer communication, and tackling repetitive tasks like regular expression writing and code refactoring. You’ll also explore AI tools that automate time-consuming processes.Throughout the course, you’ll learn to integrate AI seamlessly into your workflow, handling everything from database optimization to visual data extraction. The real-world coding exercises, such as building a Tic Tac Toe game, help you understand how AI can function as a coding partner, guiding you through problem-solving and code generation. The course doesn’t just provide theoretical insights - it enables you to directly apply AI in your development tasks, making your work more efficient and impactful.By the end, you’ll be able to use AI tools for coding, debugging, and documentation, all while staying mindful of the challenges AI may present. You'll gain the skills needed to integrate AI into your day-to-day tasks, giving you a competitive advantage in the evolving development landscape.Key benefitsExplore AI tools for automating tasks like regex creation and database optimization.Gain hands-on experience with AI-driven development tools.Learn how to leverage AI to improve communication, data migrations, and documentation.What you will learnUse AI to triage and prioritize your morning tasks.Automate the creation of regular expressions and reduce cognitive load.Refactor legacy code quickly using AI.Migrate data and optimize databases with AI tools.Build projects from scratch using AI-driven development tools.Review and improve AI-generated code to ensure high quality.Who this course is forThis course is intended for software developers, engineers, and programmers looking to improve their workflow by integrating generative AI tools into their development process. It is ideal for individuals who are familiar with coding and wish to streamline their daily tasks using AI. No prior experience with AI is necessary, but a basic understanding of programming is recommended. Basic programming knowledge (preferred but not required).Course contentsIntroduction8 AM – Morning Inbox Triage: From Chaos to Clarity9 AM – Write What You Mean, Not What You Say10 AM – Fix Ancient Code11 AM – Regex and Other Crimes12 PM – Lunch and Data Migrations1 PM – The Database Doctor Is In2 PM – Screenshot Says What?3 PM – Canvas Playground: Tic Tac Toe4 PM – Vibe Coding: Friend, Foe, or Fire Hazard?5 PM – Docs, Notes, and Final PolishAfter Party: Wrapping Up and Leveling UpConnect and Get Help

This course is designed to empower you with the ability to create cutting-edge AI-powered applications using a variety of no-code tools. Starting with an overview of essential no-code platforms such as Bubble, Power Apps, and BuildShip, you'll gain a solid understanding of the tools at your disposal. The course then delves into the practical aspects of building generative AI applications, guiding you step-by-step through the creation of sophisticated chatbots, from a basic PDF-based Q&A bot to a full conversational assistant integrated with Microsoft Teams. As you progress, you'll explore advanced AI applications like a receipt chatbot and a data assistant, learning how to harness the power of OpenAI’s API, GPT-4 Vision, and other AI technologies. Each module is structured to provide hands-on experience, ensuring that you can apply what you learn to real-world scenarios. By the end of the course, you’ll not only have built multiple AI-driven applications but also acquired the confidence and knowledge to innovate independently.

Generative AI becomes more useful when requests are clear, specific, and structured around the desired result. Effective prompting helps professionals communicate intent, provide relevant context, and obtain responses that better support projects and everyday tasks.The learning progression begins with the purpose of generative AI tools and why prompt quality matters. Learners examine three guidelines for stronger requests and a four-step prompt structure, then explore role-playing, prompt chaining, and clarifying questions. The material also covers prompting best practices, the meaning of hallucinations, and ways to reduce problems caused by inaccurate or biased responses.Examples connect each technique to practical business use, helping learners refine instructions rather than accept the first output. Participants gain a repeatable approach for building prompts, extending conversations, requesting clarification, and reviewing results with appropriate judgment. By the end of this course, you will be able to communicate more effectively with generative AI tools and create prompts that produce clearer, more useful responses.Key benefitsFoundational prompt concepts that connect instructions with stronger generative AI resultsReliable response quality through structured requests, context, and purposeful conversationPractical prompting patterns using role-play, chaining, clarifying questions, and output checksWhat you will learnDefine the role of prompts in generative AIStructure prompts with four essential componentsWrite clear and specific instructions for AI toolsApply role-playing and prompt-chaining techniquesUse clarifying questions to improve AI responsesDetect hallucinations, bias, and inaccurate outputWho this course is forCreated for business professionals who want to use generative AI more effectively in daily work, including administrators, managers, project teams, analysts, writers, and other knowledge workers. The material is introductory and focuses on practical prompting techniques rather than technical AI development.Course contentsEffective AI Prompting

Generative AI can reduce time spent on routine knowledge work when it is matched to the right task and guided by a clear prompt. Everyday activities such as email writing, presentation planning, document review, and research provide practical starting points for building useful AI habits.The learning path begins with drafting and editing emails, including the benefits of AI-assisted communication and the components of an effective prompt. It then moves into presentation outlines, full presentation content, images, and charts, with attention to the strengths of different tools. Further sections cover summarizing large documents, recognizing privacy and accuracy concerns, and using Gemini and ChatGPT for deep research.Task-based demonstrations show how to move from an initial idea to a usable work product while choosing tools deliberately. Learners develop repeatable methods for improving messages, organizing presentations, extracting key information, and researching topics more efficiently. By the end of this course, you will be able to use AI to draft emails, build presentations, summarize documents, and conduct deep research.Key benefitsEveryday productivity coverage spanning email, presentations, visuals, documents, and researchTime-saving workplace value through practical AI assistance on common business deliverablesTask-based demonstrations using prompts, tool comparisons, privacy checks, and deep researchWhat you will learnDraft and refine professional emails with AICreate presentation outlines and complete slide contentGenerate images and charts for presentationsSummarize large documents with AI toolsCompare AI tools for common workplace tasksConduct deep research with Gemini and ChatGPTWho this course is forBest suited to business professionals and knowledge workers who want practical ways to use AI in everyday tasks. It is relevant to employees, managers, administrators, project teams, communicators, and researchers seeking greater efficiency in email, presentations, document review, and information gathering.Course contentsEveryday AI Productivity

Generative AI can improve daily work, but its value depends on responsible data handling. Professionals need to understand what information these tools collect, how models use data, and where privacy risks may arise before sharing personal, customer, or internal content.Instruction starts with large language and multimodal models, then distinguishes training data, grounding data, and data classification. The material examines common data sources, ways to limit inclusion in primary training sources, the importance of safeguarding customer information, and privacy laws that may vary by industry or location. Learners also explore data loss prevention, free and paid privacy levels, and the privacy features of common AI tools.Practical analysis of a sample privacy policy helps learners judge how a tool may handle submitted information. The course connects privacy concepts with usable techniques for protecting internal data, assessing account settings, and making more informed choices about AI use. By the end of this course, you will be able to explain how AI tools use data and apply practical steps to protect sensitive information.Key benefitsClear explanations of training, grounding, classification, and personal data within AI systemsWorkplace privacy context for protecting customer information and reducing internal exposurePolicy-based guidance for comparing AI safeguards, account options, and regulatory concernsWhat you will learnExplain how AI models use training and grounding dataClassify personal, customer, and internal business dataIdentify privacy risks in common generative AI toolsApply techniques that protect sensitive workplace dataEvaluate AI privacy policies and account optionsRecognize relevant privacy laws and regulationsWho this course is forDesigned for business professionals who use or plan to use generative AI in daily work and need to manage privacy risks. It is especially relevant to employees, managers, data owners, customer-facing teams, and anyone responsible for handling personal, customer, or internal business information.Course contentsAI Data Privacy

AI adoption creates business opportunities alongside legal accountability and ethical responsibility. Organizations need a clear understanding of how intellectual property, confidentiality, bias, regulation, and liability can affect both the selection of AI tools and the way they are used.The material begins with common business uses of AI and foundational intellectual property concepts. It then examines AI inputs and outputs, fair use, patents, legal accountability, and regulatory frameworks that may influence implementation. Ethical sections address bias, confidentiality, and other concerns inherent in AI use, while company examples show how policies can support - or undermine - responsible adoption.Through practical analysis, learners gain a framework for asking better questions before introducing an AI tool and for recognizing areas that require organizational controls. The course turns complex issues into actionable considerations for policy development, risk reduction, and ethical decision-making. By the end of this course, you will be able to define major legal and ethical considerations and recommend policies that reduce exposure.Key benefitsBusiness-focused coverage of intellectual property, liability, regulation, bias, and ethicsResponsible implementation context for reducing exposure and supporting sound AI decisionsCase-driven policy guidance linking real organizational outcomes to practical risk controlsWhat you will learnDefine key legal and ethical issues in business AIAssess intellectual property risks in AI inputs and outputsIdentify liability and regulatory implementation concernsRecognize bias, confidentiality, and fairness risksEvaluate examples of responsible and failed AI policiesRecommend policies that reduce legal and ethical exposureWho this course is forIntended for business professionals, managers, compliance and risk teams, legal-adjacent staff, policy owners, and decision-makers involved in selecting or implementing generative AI tools. It is also valuable for employees who need to recognize intellectual property, liability, bias, confidentiality, and regulatory concerns.Course contentsLegal and Ethical AI Implementation

ChatGPT is an AI chatbot that helps automate chat tasks and generate code. The course teaches basic web design with HTML and CSS, then builds dynamic, interactive websites using JavaScript, adds contact forms, and covers domain and hosting setup, publishing, and lead generation.

This course guides learners through the current AI landscape by testing major models across coding, automation, development, and media workflows. From GPT 5.5 Instant and GPT 5.5 coding tests to Deepseek V4, Sonnet 4.6, Minimax 2.7, Kimi 2.6, and Qwen 3.6 variants, learners gain practical insight into how leading models perform in real-world scenarios. The learning journey then moves into AI development tools and applied production environments. Learners explore how Gemini 3.5 Flash and Antigravity 2.0 can support the creation of AI-powered websites, while also examining platforms such as Huyuan 3D Studio and Google Studio for broader project workflows. This progression helps learners understand not only what each tool does, but also how it can fit into modern development, automation, and digital production pipelines. The final stage focuses on AI media generation, where learners examine advanced video and image creation workflows using Seedance 2.0, GPT-Image 2, Kling 3, and related creative tools. Through comparisons and tutorials, learners develop a clearer understanding of model strengths, output quality, and practical application areas.