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Complete AI Course: AI Tools, Generative AI and AI Agents
New
2 students
Complete AI Course: AI Tools, Generative AI and AI Agents
Use ChatGPT, Gemini, NotebookLM, Manus and DeepSeek for real work, and learn how generative AI and AI agents work
Created byJeetS | 10X Dev with AI
Last updated 10/2026
English
English
What you'll learn
- Explain the difference between AI builders and AI operators, and where you fit
- Use NotebookLM to make interview questions, mind maps, reports, flashcards and video overviews from your own documents
- Use Gemini to summarise long PDF documents and turn the numbers into charts
- Write clear, role-based prompts that make ChatGPT work like a data analyst
- Explain the difference between generative AI and agentic AI with real examples
- Describe how an LLM processes a prompt: tokens, embeddings, attention and decoding
- Compare LLMs, AI workflows and AI agents, and explain how agents use reasoning and tools
- Choose a suitable multi-agent pattern and agent type for a given business problem
Explore related topics
Course content
11 sections • 33 lectures • 1h 21m total length
Requirements
- A computer with a modern web browser and internet connection
- Free accounts on ChatGPT, Google (for Gemini and NotebookLM), DeepSeek and Manus. Some features may need a paid plan.
- No programming experience is needed
Description
AI is now part of every job. You do not need to be a programmer to use it well.
This course teaches you AI in a clear order. First, you use popular AI tools for real tasks. Then you learn how generative AI works. Finally, you understand AI agents: what they are, how they think, and how companies use them.
**Part 1: AI tools for daily work**
- NotebookLM: prepare for a mock interview from your resume. Make mind maps, reports, flashcards and video overviews.
- Gemini: summarise a 400-page financial document. Export the numbers to a sheet and turn them into charts.
- ChatGPT as a data analyst: explore a real 18,000-row dataset. Check data quality, find insights, and build charts with clear prompts.
- Manus: see how an AI agent plans a trip, researches a stock, and builds a complete website from one prompt.
- DeepSeek: learn why it is different and use it to write code.
**Part 2: Generative AI**
- What generative AI can create: text, images, music, video and code.
- Tokens, and why every word in your prompt has a cost.
- How an LLM turns your prompt into an answer.
- What an LLM cannot do on its own.
**Part 3: AI agents**
- Automation vs autonomy.
- The three levels: LLM, AI workflow, AI agent.
- How an agent reasons, picks tools and improves its own work (ReAct).
- Single-agent and multi-agent systems.
- Multi-agent patterns: sequential, hierarchical, hybrid, parallel and asynchronous. This is a common interview topic.
- The five classic types of AI agents.
- Real business uses of AI agents.
Every lesson is short and gives you one clear idea. Every lesson ends with a recap and a quiz. The course ends with a full summary of everything you learned and clear next steps.
Disclosure: this course contains AI-generated voice.
Who this course is for:
- Students and freshers who want to start a career in AI or data
- Working professionals who want to save time with AI tools
- Non-technical people (managers, analysts, marketers) who want to understand AI agents
- Anyone preparing for interviews where AI agents and generative AI are discussed