AI Agents Bootcamp: Zero to Mastery
Course description
This is not a course about "smart prompts" – this is a course about creating real AI systems that truly get the job done.
You will go beyond simple chatbots and master structured multi-agent workflows. Using Python and modern tools for AI agents, including CrewAI, LangGraph, MCP, OpenAI, and others, you will learn how to assemble entire "teams" of artificial intelligence that automatically parse websites, analyze content, interact with each other, and report on the results.
The course is suitable for preparation for work in fields such as AI engineering, automation, product strategy, as well as for those who want to create autonomous AI systems to solve everyday tasks.
By the end of the course, you will have several ready-for-production demonstration projects and confidence that you can design, develop, and explain the operation of intelligent systems that go far beyond simple chat communication.
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All Course Lessons (70)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | The AI Agents Bootcamp: Zero to Mastery Demo | 01:49 | |
| 2 | Why AI Agents? | 11:13 | |
| 3 | What We're Building (Panic! I Have a Job Interview Tomorrow!) | 02:27 | |
| 4 | Getting an OpenAI API Key | 04:31 | |
| 5 | CrewAI Setup | 04:50 | |
| 6 | Get the Data | 05:54 | |
| 7 | About CrewAI | 07:51 | |
| 8 | AI Interviewer Agent | 07:32 | |
| 9 | Interview Preparation Task | 03:46 | |
| 10 | Assemble First Crew | 05:05 | |
| 11 | Second AI Agent | 07:15 | |
| 12 | Adding Knowledge Sources | 08:14 | |
| 13 | Game Plan for Pro Level | 04:01 | |
| 14 | CrewAI Setup | 06:30 | |
| 15 | AI Research Agent | 08:11 | |
| 16 | AI Research Tasks | 05:08 | |
| 17 | AI Coach and Interview Tasks | 06:24 | |
| 18 | Assembling First Crew and Exporting | 09:26 | |
| 19 | Interviewing and Coaching Tasks | 06:43 | |
| 20 | Second AI Crew | 07:06 | |
| 21 | Hierarchical Process | 06:34 | |
| 22 | Andrei Asks For Your Help! | 01:37 | |
| 23 | CrewAI Setup | 03:51 | |
| 24 | Research AI Agent and 1st Task | 08:31 | |
| 25 | Research and Sentiment Tasks | 09:46 | |
| 26 | AI Scoring Agent and Task | 07:38 | |
| 27 | Final AI Crew | 11:38 | |
| 28 | Game Plan for the Joke Bot | 01:49 | |
| 29 | LangGraph Setup | 03:14 | |
| 30 | TypedDict | 04:49 | |
| 31 | TypedDict Class | 02:39 | |
| 32 | Greet User | 05:45 | |
| 33 | Get Topic of Joke - Part 1 | 07:34 | |
| 34 | Get Topic of Joke - Part 2 | 03:54 | |
| 35 | Exercise: Imposter Syndrome | 02:57 | |
| 36 | Begin Workflow | 04:46 | |
| 37 | Workflow with Conditional Edges | 07:51 | |
| 38 | Invalid Topic | 03:27 | |
| 39 | Time to Say Goodbye | 09:34 | |
| 40 | Game Plan for Interview Coach | 03:05 | |
| 41 | AgentState Class | 02:15 | |
| 42 | Web Browsing with OpenAI | 08:27 | |
| 43 | Research Company | 05:59 | |
| 44 | Research Interviewer | 05:27 | |
| 45 | Generate Interview Questions - Part 1 | 11:45 | |
| 46 | Generate Interview Questions - Part 2 | 05:46 | |
| 47 | Build LangGraph Workflow | 07:20 | |
| 48 | AI Interviewer | 12:28 | |
| 49 | Get Answer | 04:39 | |
| 50 | End the Flow | 10:26 | |
| 51 | Game Plan for the AI Sommelier | 01:17 | |
| 52 | OpenAI Agend SDK Setup | 03:23 | |
| 53 | Uploading a File | 03:59 | |
| 54 | Vector Stores | 04:01 | |
| 55 | AI Sommelier | 06:15 | |
| 56 | Escalate to Boss | 03:26 | |
| 57 | Running the AI Agent | 08:27 | |
| 58 | Finalizing AI Sommelier | 03:25 | |
| 59 | More Stuff That I Built | 02:57 | |
| 60 | Introduction | 12:21 | |
| 61 | Game Plan for MCP with OpenAI | 08:11 | |
| 62 | Setup | 03:25 | |
| 63 | Web Browsing with Fetch | 10:22 | |
| 64 | MCP Approval | 03:33 | |
| 65 | Including Approval in API Call | 05:17 | |
| 66 | Specifying Approvals: Deepwiki - Part 1 | 06:50 | |
| 67 | Specifying Approvals: Deepwiki - Part 2 | 03:34 | |
| 68 | Authentication with Stripe MCP - Part 1 | 06:42 | |
| 69 | Authentication with Stripe MCP - Part 2 | 07:19 | |
| 70 | Thank You! | 01:18 |
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