AI Agents Bootcamp: Zero to Mastery

6h 55m 29s
English
Paid

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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#1: The AI Agents Bootcamp: Zero to Mastery

All Course Lessons (70)

#Lesson TitleDurationAccess
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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