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.

The Vibe Coding Bootcamp teaches you to direct AI tools for full‑stack web development: plan projects, design effective prompts, compare ChatGPT, Gemini, Claude, Copilot, Cursor, and Zed, set up a modern development environment, and build portfolio‑ready web apps (games, generators, news/podcast apps, PWAs, data projects). You’ll learn to refine AI‑generated code for deployment and present a professional portfolio showcasing AI‑augmented development skills.

This course introduces AI, machine learning and deep learning concepts, covering data fundamentals, regression methods, decision trees, clustering algorithms and model evaluation techniques.

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. The masterclass focuses on practical application, including assigning tasks, handling messy folders, and converting raw data into reports and spreadsheets. You'll also explore scheduling recurring tasks, creating workflows, and linking external apps and browsers to Cowork. This segment emphasizes smooth integration between 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.

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 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

This course explores the full potential of NotebookLM, an AI-powered platform designed to enhance note-taking and knowledge management. You'll learn the basics of NotebookLM, its unique features, and how it differentiates from traditional note-taking applications. The course covers creating and organizing notes efficiently using AI tools to generate summaries and extract key insights, making information more accessible and actionable. Advanced techniques for conducting research, managing external sources, and categorizing notes ensure smooth retrieval. The course highlights automating repetitive tasks, brainstorming ideas more effectively, and converting notes into actionable tasks. Integrations with Google Workspace enable team collaboration and streamlined workflows. Real-world applications include creating interactive quizzes, organizing articles, and using audio summaries for interviews. The course also addresses ethical considerations, limitations, and the future impact of AI in knowledge management. By the end, you'll have the skills to organize and manage knowledge effectively with NotebookLM, enhancing personal or team productivity.

Claude AI offers a no‑code platform for professionals to automate tasks, generate text, analyze data and connect with external apps via browser or connectors.

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.

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.

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.

This course introduces Microsoft Copilot across Office 365 apps. You’ll automate Excel tasks (formatting, formulas, pivot tables), craft and enhance PowerPoint presentations with branded templates, draft and edit Word documents, improve Outlook email drafting and summarization, and collaborate in Teams, OneNote, Loop, and Bing. Hands‑on exercises let you apply Copilot to boost productivity in daily workflows.

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. The course emphasizes publishing your website with Vercel, allowing you to easily launch and manage your site online. The final section delves into advanced topics like AI tools 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 to confidently create and maintain websites without writing any code.

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

This course introduces AI, machine learning and deep learning concepts, covering data fundamentals, regression methods, decision trees, clustering algorithms and model evaluation techniques.

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 benefits:
- Comprehensive overview of AI ethics and governance
- Real-world case studies and demonstrations
- Focus on responsible AI development practices

What you will learn:
- Understand key ethical principles and frameworks in AI
- Analyze and mitigate risks related to AI development and deployment
- Develop policies and leadership strategies for ethical AI governance
- Navigate the challenges of bias, fairness, and transparency in AI
- Apply ethical data management practices in AI systems
- Understand the social impacts of AI, including job displacement and social good

Who this course is for:
This 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.

Course contents:
- Introduction
- Module 1 - Introduction to AI Ethics
- Module 2 - Responsible AI Development
- Module 3 - Privacy and Security in AI
- Module 4 - Social and Ethical Impacts of AI
- Module 5 - Policy Development

This course shows developers how to integrate generative AI into daily workflows: triage and prioritize morning tasks, automate regex creation, refactor legacy code, migrate and optimize databases, extract visual data, and review AI‑generated code. Hands‑on exercises include a Tic Tac Toe game and real‑world projects to practice AI‑assisted coding, debugging, and documentation.

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 benefits:
- Foundational prompt concepts that connect instructions with stronger generative AI results
- Reliable response quality through structured requests, context, and purposeful conversation
- Practical prompting patterns using role-play, chaining, clarifying questions, and output checks

What you will learn:
- Define the role of prompts in generative AI
- Structure prompts with four essential components
- Write clear and specific instructions for AI tools
- Apply role-playing and prompt-chaining techniques
- Use clarifying questions to improve AI responses
- Detect hallucinations, bias, and inaccurate output

Who this course is for:
Created 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 contents:
- Effective AI Prompting

This AI fluency course teaches generative AI for everyday work: draft and edit professional emails, create presentation outlines and full slides with images and charts, summarize large documents, and conduct deep research using Gemini and ChatGPT. You’ll learn prompt engineering, tool comparisons, privacy checks, and task‑based workflows to build repeatable methods for efficient email communication, organized presentations, information extraction, and research.

This course explains how generative AI models handle data, covering training data, grounding data, and data classification. You’ll learn to identify privacy risks in common AI tools, apply techniques to safeguard sensitive workplace information, evaluate AI privacy policies and account options, and recognize relevant privacy laws and regulations.

This course covers essential legal and ethical considerations for business AI, including intellectual property, liability, regulatory compliance, bias, and confidentiality. You’ll examine AI inputs and outputs, fair use, patents, accountability frameworks, and review case studies of responsible and failed AI policies. The program provides a framework for assessing risks and recommending policies that reduce legal and ethical exposure.

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.