Udemy
Generative AI: OpenAI API, Gemini, DeepSeek, and ChatGPT
Artificial Intelligence · Data Science · Development
Library / Artificial Intelligence
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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.
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Udemy: 2026-10-22 · Coursera: 2026-10-22 · O'Reilly: 2026-10-22 · 365 Data Science: 2026-10-22
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