Mímir, Keeper of the Well of Wisdom
2026 Bootcamp: Understand and Build Professional AI Agents
https://www.udemy.com/course/2025-bootcamp-understand-and-build-
professional-ai-agents/
Year : 2026
Language : English
Level : Beginner Level
Category : Development
Subcategory : Data Science
Duration : 39h 47m
Lectures : 285
Rating : 4.0/5 (217 reviews)
Students : 2,202
INSTRUCTOR(S)
HEADLINE
From zero to professional level: CrewAI, LangGraph, Multi-
Agents, Flows, etc
WHAT YOU'LL LEARN
* How AI Agents fit into the Generative AI Revolution.
* What framework is better to build your AI Agents?
Comparative.
* Learn to build basic, intermediate, and advanced AI Agents.
* Learn CrewAI the right way: from basic Crews to advanced
Flows.
* Learn LangGraph the right way: from basic Agents to advanced
Subgraphs.
* Real Cases of AI Agents that will inspire you.
* How to build advanced AI Agents that manage your email and
other custom tools.
* How to build advanced AI Agents that remember who you are
and
what you want.
* How to build advanced Multi-Agents able to replace whole
teams
of people.
* How to improve your AI Agents with Human-in-the-loop and
other
advanced techniques.
* The process to build an AI Agent from scratch: from the
initial interview with your client to the final app.
* How to design a Plan to Introduce AI Agents in your company.
REQUIREMENTS
* No previous technical knowledge is required.
* Students with some prior knowledge will improve their
professional preparation.
WHO IS THIS COURSE FOR
* Students and professionals with and without previous
experience.
* Students without prior knowledge interested in taking
advantage of the professional opportunities opened by the
field of Artificial Intelligence.
* Executives interested in introducing Artificial Intelligence
into their company.
* Machine Learning, Deep Learning, and Data Science
professionals interested in expanding their professional
opportunities in the area of Generative AI and LLM
Applications.
* Software application developers interested in expanding
their
professional opportunities by learning to develop Generative
Artificial Intelligence and LLM Applications.
DESCRIPTION
The creators of the #1 Generative AI Bootcamp Worldwide (2026
Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI, with
more than 45,000 students from more than 154 countries),
present
now this 2026 Bootcamp: Understand and Build Professional AI
Agents. What are the Top Experts saying about the Potential of
AI Agents: ?AI Agents are going to bring about the biggest
revolution in computing." ? Bill Gates, Founder of Microsoft.
?AI agents will become our digital assistants. They will make
our lives easier and more efficient." ? Jeff Bezos, Founder of
Amazon. ?The age of AI Agents is here." ? Jensen Huang,
Founder
of Nvidia. Why Join This Bootcamp: ?Postings for Gen AI jobs
are
growing 3.5x faster than all jobs." (PwC 2024 Global
Barometer)
?Jobs requiring Gen AI skills carry up to a 25% wage premium."
(PwC 2024 Global Barometer) Trusted by over 45,000 students
from
154 countries ? our previous Generative AI Bootcamp was ranked
#1 worldwide. What Makes This Bootcamp Special: No prior
knowledge of AI Agents is required. For those who need it, it
includes a quick guide to learning how to program in the new
era
of Generative AI. It?s the ideal next step after completing
our
2026 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI.
In
Part 1, you will learn the keys to AI Agents, as well as its
potential to revolutionize businesses, startups, and
employment:
How AI Agents fit into the Generative AI Revolution. What are
AI
Agents and Multi-Agents. The huge market for AI Agents. The
Key
Benefits of AI Agents. Use Cases of AI Agents. How to design a
Plan to Introduce AI Agents in your company. What are the top
challenges and limitations of AI Agents. Regulations and AI
Agents: What you need to know. Future of AI Agents. Real Cases
of AI Agents that will inspire you. Updated Report: State of
the
Generative AI Revolution. In Part 2, you will learn to build
AI
Agents of different levels (basic, intermediate, and advanced)
with the top frameworks in the market today: Analysis of the
main frameworks for building AI Agents: AutoGen, LangGraph,
CrewAI. The three stages of the recommended learning process
for
building AI Agents. Reasons why CrewAI emerges as the most
suitable framework for the initial learning. CrewAI adoption
statistics: who uses it and for what. Building simple and
intermediate-level AI agents with CrewAI. Quick guide to
learning CrewAI. How to use alternative LLMs with CrewAI and
Groq. First AI Agents with CrewAI: simple crew and full-stack
crew. New updates and features of CrewAI. Flows: the new
feature
that enables the creation of advanced AI Agents with CrewAI.
Integrating CrewAI with native, external, and custom tools.
Memory in CrewAI. RAG in CrewAI. Event Listeners in CrewAI.
Fingerprinting in CrewAI. How to improve agent performance
with
CrewAI. Testing agents in CrewAI. Training agents in CrewAI.
The
new CrewAI deployment and observability platform. How to
integrate CrewAI with enterprise applications like Salesforce,
Hubspot, etc. Instructions to install projects error-free.
Basic
Crew project. Crew to plan and manage a marketing project.
Multi-model crew to prepare sales meetings. Flow with crew to
manage your email. Flow with two crews to assist SDRs. Why
LangGraph is the top framework to build professional-level AI
Agents today. Why the LangChain team decided to create the
LangGraph framework to build better AI Agents. Degrees of
Agentic Behavior. What is a Graph in LangGraph? How to learn
LangGraph the right way: from painful to joyful. Understanding
the components of a LangGraph app. Quick guide to learning
LangGraph. Basic multi-agent project with LangGraph. AI Agents
Routing with Conditional Edges. AI Agents that remember your
conversation: short-term memory. What is in the mind of the AI
Agent? The state schema. How to change what is in the AI
Agent's
mind: Reducers. Private and Public conversations: how to build
AI Agents with Multiple State Schemas. Memory efficiency: how
to
prevent high token usage in AI Agents. Memory Persistence: How
to save the memory of your AI Agent in an external database.
How
to improve your AI Agent with Human-in-the-loop. Breakpoints:
the right time to add Human-in-the-loop. Human-in-the-loop:
how
to add an approval step. Human-in-the-loop: how to change what
is in the AI Agent's mind. Human-in-the-loop: how to debug AI
Agents. Parallelization: How your AI Agent can execute more
than
one task at a time. How you can build Multi-Agents with sub-
graphs. Map-Reduce operations: how to master one of the key
techniques for AI Agents. The process to build an AI Agent
from
scratch: from the initial interview with your client to the
final app. How to build an advanced Multi-Agent app:
automating
the job of a Market Research Team. Short-term vs. Long-term
memory in AI Agents. How to build AI Agents with long-term
memory: they remember who you are, your previous
conversations,
and how you want them to behave. How to manage AI Agents with
complex Memory Schemas using TrustCall. How to build an
advanced
AI Agent with long-term memory: an amazing personal assistant
that proactively manages your to-do list for you. How to use
advanced listeners to debug your AI Agents. You will also
learn
about the new AI Agents that can work in your computer: Open
Claw Bots, Clawdbots, Moltbots, and Moltbook. Join Today: Take
your place among the pioneers of the AI Agent revolution.
Don?t
miss this opportunity?enroll now before conditions change!
COURSE CONTENT
Chapter 1: Program Presentation
1. See what our students say about our bootcamps
2. How this program fits into our bootcamp series on
Generative AI
3. Alternative Learning Paths and Rhythms based on your
current profile
4. Is it recommended to enroll also in our Generative AI
Bootcamp?
5. [NEW] Gift to celebrate our 45,000 students: our 4 Gen AI
Ebooks free!
6. Please leave your review and share your experience
7. [NEW] Advice for the Stressed Student
8. This bootcamp will help you advance professionally
9. What will you build in this program? (Projects with
CrewAI)
10. What will you build in this program? (Projects with
LangGraph)
11. Opportunities this program will open for your
12. Materials included in the program
13. Who is this program for?
14. What makes this program different?
15. Introduction to the program director
16. Share your progress
17. COME BACK OFTEN: We update this program every month
Chapter 2: Tips for the students: the secret to successfully
complete this program
18. Tips for the students
19. Practical tips for the students
20. The SECRET to successfully complete this program
21. [NEW] Note: Contents from Bootcamp #1
Chapter 3: PART 1: UNDERSTANDING THE TRUE POTENTIAL OF AI
AGENTS
22. Note about Part 1: Is this Part Right for You?
23. Generative AI and AI Agents
24. What are AI Agents and Multi-Agents
25. AI Agents
26. Multi-Agents
Chapter 4: The Market of AI Agents
27. The Market of AI Agents
Chapter 5: Key Benefits of AI Agents
28. Key Benefits of AI Agents
Chapter 6: Use Cases of AI Agents
29. Use Cases of AI Agents
Chapter 7: How to build a Plan to Introduce AI Agents in your
Company
30. How to build a Plan to Introduce AI Agents in your
Company
Chapter 8: Working with AI Agents: Best Practices
31. Working with AI Agents: Best Practices
Chapter 9: Challenges of AI Agents
32. Challenges of AI Agents
Chapter 10: Regulation of AI Agents
33. Regulation of AI Agents
Chapter 11: Future of AI Agents
34. Future of AI Agents
Chapter 12: 28 Real Cases of AI Agents to Inspire You
35. 24 Real Cases of AI Agents to Inspire You
36. 4 Breakout AI Agents
Chapter 13: [NEW] Real Case: How AI Agents kill the SaaS model
37. Why do we add these contents from the Bootcamp #1?
38. How Generative AI is changing SaaS Businesses:
Introduction
39. Real Case: Unicorn Startup shows how "AI Agents will
kill SaaS"
40. Real Case: Full Details
Chapter 14: [NEW] The Evolving Landscape of LLMs
41. [NEW] The Evolving Landscape of LLMs
Chapter 15: UPDATED REPORT: The State of The Generative AI
Revolution
42. Introduction
43. Reasons and Goals of this new section
44. Revolution in the Job Market and Businesses
45. Quick Advice to Navigate the Gen AI Job Market
46. Revolution in the Coding World
47. Revolution in the 3 Trillion Dollar Service Industry
48. Revolution in the Startup World
49. [NEW] Gen AI makes possible the new Fast-Growing Tiny
Startups
50. Quick Advice to Navigate the Gen AI Startup and
Investment World
51. Revolution in the Gen AI Buzz Words
52. Revolution in the LLM World
53. Revolution in the Orchestration Frameworks
54. Revolution in the AI Education Industry
Chapter 16: PART 2: HOW TO BUILD PROFESSIONAL AI AGENTS
55. What are we going to build? (Projects with CrewAI)
56. What are we going to build? (Projects with LangGraph)
Chapter 17: [NEW] In case you need it: Intro to Programming
57. Why do we add these contents from the Bootcamp #1?
58. Intro to the usage of Programming Languages
59. Never programmed before? Do not worry.
60. In Part 3 of B#1 you will learn the new way to program
with Coding Assistants
61. What is "Vibe Coding", the newest buzz word in
programming?
62. Practical Tips if you are new to programming
63. DEMO: W3Schools and ChatGPT in action
64. Python and Javascript for LLM App Developers: the
important parts (part 1)
65. Python and Javascript for LLM App Developers: the
important parts (part 2)
66. Don't worry if what you see in the upcoming lessons
sounds too technical
67. Virtual environment: what is it, why is it important
and how to create one (1)
68. Virtual environment: what is it, why is it important
and how to create one (2)
69. Create a virtual env and install Jupyter Lab to access
notebooks (1)
70. Create a virtual env and install Jupyter Lab to access
notebooks (2)
71. FOR WINDOWS SYSTEMS: How to create a virtual env and
install Jupyter Lab
72. Terminal: what is it, why is it important, basic
operations (1)
73. Terminal: what is it, why is it important, basic
operations (2)
74. File for secret credentials: why is it important, how to
create it
75. How to create and read Hybrid Notebooks (code + text)
with Jupyter (1)
76. How to create and read Hybrid Notebooks (code + text)
with Jupyter (2)
77. QUICK INSTRUCTIONS: How to create a Notebook and how to
perform main operations.
Chapter 18: [NEW] Intro to Agents and Multi-Agents:
Alternative Frameworks
78. Why do we add these contents from the Bootcamp #1?
79. Intro to AI Agents
80. AI Agents: Agentic Behaviour, Real Examples, What is
Coming
81. Intro to Multi-Agent LLM Apps: AutoGen, LangGraph and
CrewAI
82. Multi-Agent Frameworks: AutoGen, LangGraph and CrewAI
Chapter 19: [NEW] Intro to the initial CrewAI framework
83. Why do we add these contents from the Bootcamp #1?
84. Intro to CrewAI
85. Intro to CrewAI: Key Concepts
86. CrewAI in Depth
87. CrewAI in Depth: Comprehensive Guide and Samples
88. Basic Multi-Agent LLM App with CrewAI
89. REMINDER: Important notes to use versions properly.
90. NOTE: We have updated the this app using poetry.
91. INSTRUCTIONS: Make sure you have Poetry version 1.8.2
installed
92. REMINDER: how to download the repo, install packages,
open notebooks & run code
93. Link to download the notebooks and code associated with
the next app
94. Step by Step: Basic Multi-Agent LLM App with CrewAI
Chapter 20: [NEW] A low cost option: CrewAI with Groq, Llama3
and Mixtral
95. Why do we add these contents from the Bootcamp #1?
96. A low cost option: CrewAI with Groq, Llama3 and Mixtral
97. Link to download the code of the project from Github
98. A low cost option: Testing CrewAI with Groq, Llama3 and
Mixtral
Chapter 21: [NEW] Full Stack Multi-Agent LLM App with CrewAI
99. Why do we add these contents from the Bootcamp #1?
100. Full Stack Multi-Agent LLM App with CrewAI in 9 Parts
101. Link to download the code of Part 1 from GitHub
102. Full Stack Multi-Agent LLM App with CrewAI: Part 1
103. Recommendation: free up space by uninstalling the
packages
104. Link to download the code of Part 2 from GitHub
105. Full Stack Multi-Agent LLM App with CrewAI: Part 2
106. Link to download the code of Part 3 from GitHub
107. Full Stack Multi-Agent LLM App with CrewAI: Part 3
108. Link to download the code of Part 4 from GitHub
109. Full Stack Multi-Agent LLM App with CrewAI: Part 4
110. Link to download the code of Part 5 from GitHub
111. Full Stack Multi-Agent LLM App with CrewAI: Part 5
112. Link to download the code of Part 6 from GitHub
113. Full Stack Multi-Agent LLM App with CrewAI: Part 6
114. Link to download the code of Part 7 from GitHub
115. Full Stack Multi-Agent LLM App with CrewAI: Part 7
116. Link to download the code of Part 8 from GitHub
117. Full Stack Multi-Agent LLM App with CrewAI: Part 8
118. Link to download the code of Part 9 from GitHub
119. Full Stack Multi-Agent LLM App with CrewAI: Part 9
Chapter 22: [NEW] Significant changes in CrewAI
120. Significant Changes in CrewAI
121. Reminder: Our initial analysis of CrewAI
122. The main change: Series A Investment
123. CrewAI must make money now: what does it mean for you
124. CrewAI decouples from LangChain
125. The most important new feature and what it means
126. CrewAI Adoption: prototypes vs. production-level apps
127. CrewAI Adoption: from low-precision to high-precision
agents
128. CrewAI Adoption: Main tasks automated
129. CrewAI Adoption: Main Enterprise Verticals
130. CrewAI Adoption: technical and no-code users
131. You must know this: what AI Agents use the CrewAI team?
132. CrewAI Adoption: what LLMs are using the CrewAI Agents?
133. Two other interesting news from CrewAI
134. CrewAI takes the offensive against LangGraph
135. Our impressions: CrewAI vs. LangGraph and LangChain
Chapter 23: [NEW] Instructions to install the notebooks and
code for the new CrewAI Block
136. Instructions to install the notebooks and code for the
new CrewAI Block
137. Link to download the notebooks and projects of the new
CrewAI Block
Chapter 24: [NEW] Updates and new features in CrewAI
138. CrewAI: Updates and New Features
139. The CrewAI Documentation
140. The CrewAI Quickstart
141. The CrewAI Core Components
142. The CrewAI Advanced Components
Chapter 25: [NEW] How to measure and improve the performance
of a CrewAI project.
143. Performance Management in CrewAI
Chapter 26: [NEW] The new deployment and observability
platform of CrewAI
144. The new Deployment and Observability Platform of CrewAI
145. After the Deployment
146. [NEW] Gift to celebrate our 45,000 students: our 4 Gen
AI Ebooks free!
Chapter 27: [NEW] CrewAI Projects: Building AI Agents with
CrewAI
147. What are we going to build? (New Projects with CrewAI)
Chapter 28: [NEW] CrewAI Project: Crew of AI Agents to plan a
Marketing Project
148. CrewAI Project: Crew of AI Agents to plan a Marketing
Project
Chapter 29: [NEW] CrewAI Project: Crew of AI Agents to
customize Sales Pitch for each Lead
149. CrewAI Project: Crew of AI Agents to customize your
Sales Pitch for each Lead
Chapter 30: [NEW] CrewAI Project: Flow of AI Agents working as
SDR Assistant
150. CrewAI Project: Flow of AI Agents working as SDR
Assistant
Chapter 31: [NEW] CrewAI Project: Flow of AI Agents to Manage
your Email
151. CrewAI Project: Flow of AI Agents to Manage your Email
152. REMINDER: Please leave your review and share your
experience.
Chapter 32: [NEW] CrewAI in January 2026: Relevant Updates
153. [NEW] CrewAI in January 2026: Relevant Updates
Chapter 33: [NEW] Intro to the initial LangGraph framework.
Multi-Agent project.
154. Why do we add these contents from the Bootcamp #1?
155. Multi-Agent LLM App Development: Intro to LangGraph by
LangChain
156. LangGraph by LangChain: Key Concepts
157. LangGraph by LangChain: Quickstart
158. LangGraph Quickstart: Basic Agents with Router,
Conditional Edges & Cycles
159. Basic Multi-Agent LLM App with LangGraph
160. NOTE: We have updated the this app using poetry.
161. REMINDER: Important notes to use versions properly.
162. INSTRUCTIONS: Make sure you have Poetry version 1.8.2
installed
163. REMINDER: how to download the repo, install packages,
open notebooks & run code
164. Link to download the notebooks and code associated with
the next app
165. Step by Step: Basic Multi-Agent LLM App with LangGraph
166. [NEW] Updates in LangGraph 1.0
Chapter 34: Instructions to install the notebooks and code for
the new LangGraph Block
167. Introduction
168. Before you start: Important notes to use versions
properly.
169. Make sure you have Poetry version 1.8.2 installed
170. Learning Stack: Videos, Detailed Notebooks, and stable
Code
171. IMPORTANT NOTE regarding the notebook presented in the
following video
172. Live demo: how to download the repo, install packages,
open notebooks & run code
173. Link to download the Github repo with the notebooks and
the code
174. The Path of the Gen AI Engineer
175. NOTE: THE NEXT LESSONS OF THIS SECTION ARE FOR YOUR
SECOND ROUND
176. How to use more modern versions of Python and Poetry
177. Installing a more modern version of Python, for example
Python 3.13.3
178. Installing a more modern version of Poetry BESIDES the
one you already have
179. Installing a more modern version of Poetry
180. How to create virtual environments with the newer
versions of Poetry
Chapter 35: Introduction to LangGraph
181. Introduction to LangGraph
182. LangGraph vs. LangChain
183. Agentic vs. Non-Agentic LLM Apps
184. Degrees of Agentic Behavior
185. Why LangGraph? And why the word "graph" in LangGraph?
186. LangGraph Studio
Chapter 36: Building Basic LangGraph AI Agents
187. Building Basic LangGraph AI Agents
188. Facilitating your way through the painful LangGraph
documentation
189. Apps are often called "graphs" by the LangGraph team
190. Understanding the components of a basic LangGraph app
191. LangGraph App that decides to respond with a chatbot or
using a tool
192. Using a conditional edge as a router between two nodes
in LangGraph
193. Our first LangGraph Agent: the LLM node decides what to
do next
194. Let's pause and review what we have done so far
Chapter 37: LangGraph AI Agents and Memory
195. LangGraph AI Agents and Memory
196. Adding Short-Term Memory to a LangGraph AI Agent
197. Formatting the State Schema in LangGraph: from TypeDict
to Pydantic
198. Customizing how the State is updated in LangGraph
Agents: Reducers
199. Multiple State Schemas in LangGraph Agents: Use Cases
and Implementation
200. Let's pause and review what we have done so far
Chapter 38: Memory Efficiency and Memory Persistence in
LangGraph AI Agents
201. Memory Efficiency and Memory Persistence in LangGraph
AI Agents
202. Memory Efficiency in LangGraph: Simple Techniques to
prevent high token usage
203. Memory Summarization in LangGraph to prevent high token
usage
204. Memory Persistence in LangGraph: saving the memory in a
SQL database
205. Let's pause and review what we have done so far
Chapter 39: Improving LangGraph AI Agents with Human-in-the-
loop operations
206. Improving LangGraph AI Agents with Human-in-the-loop
operations
207. Using .stream in LangGraph AI Agents
208. Using breakpoints and human-in-the-loop to approve the
next step of an AI Agent
209. Using human-in-the-loop to edit the State of an AI
Agent in LangGraph
210. AI Agents that can self-interrupt using dynamic
breakpoints in LangGraph
211. Using human-in-the-loop to debug an AI Agent in
LangGraph
212. Let's pause and review what we have done so far
Chapter 40: Parallelization in LangGraph: how to execute
multiple nodes at once
213. Parallelization in LangGraph: how to execute multiple
nodes at once
Chapter 41: How to Build Multi-Agents in LangGraph: Using Sub-
Graphs
214. How to Build Multi-Agents in LangGraph: Using Sub-
Graphs
Chapter 42: What are Map-Reduce Operations and How to build
them in LangGraph
215. What are Map-Reduce Operations and How to build them in
LangGraph
Chapter 43: How to build Advanced Multi-Agents with LangGraph
216. How to build Advanced Multi-Agents with LangGraph
217. What are we going to build?
218. Step 1: Plan and Draw the LangGraph Multi-Agent
219. Step 2: Creating the first subgraph
220. Steps 3 and 4: Creating the second subgraph and the
parent graph
221. [NEW] Gift to celebrate our 45,000 students: our 4 Gen
AI Ebooks free!
Chapter 44: AI Agents with Long-Term Memory in LangGraph
222. AI Agents with Long-Term Memory in LangGraph
223. Short-term vs. Long-term Memory in LangGraph
224. Building an AI Agent with Long-term Memory in LangGraph
225. Using Complex Memory Schemas in LangGraph for advanced
operations
226. How to save the Memory of our LangGraph AI Agent in
Collections
Chapter 45: How to build a LangGraph AI Agent with Long-term
Memory
227. How to build a LangGraph AI Agent with Long-term Memory
228. What are we going to build?
229. Step 1: Plan and Draw your LangGraph AI Agent
230. Step 2: See what TrustCall Extractors are doing behind
the scenes with Listeners
231. Step 3: Overview of the whole LangGraph AI Agent
232. Step 4: Defining the Schemas and the Extractors
233. Step 5: Defining the prompts for the LLM Model
234. Step 6: Defining the nodes of the LangGraph AI Agent
235. Step 7: Defining the Routing Logic of the LangGraph AI
Agent
236. Step 8: Running the LangGraph AI Agent
237. Let's pause and review what we have done so far
Chapter 46: [NEW] Deploying your app in the new LangGraph
Platform
238. Deploying your app in the new LangGraph Platform
Chapter 47: [NEW] LangGraph 1.0 in January 2026: Relevant
Updates
239. [NEW] LangGraph 1.0 in January 2026: Relevant Updates
240. [FROM BOOTCAMP #1] LangGraph 1.0 in the LangChain 1.0
Ecosystem
Chapter 48: [NEW] MCP: Model Context Protocol
241. What is MCP and why we talk about it here?
242. Let's have a more detailed explanation of MCP
243. According to the hype, why MCP should be a Big Deal?
244. The Key components of MCP
245. But... is MCP really useful for real-world LLM Apps?
246. [NEW] MCP Evolution
247. [NEW] MCP Adoption
248. [NEW] MCP with LangChain and LangGraph
249. [NEW] MCP with CrewAI
250. [NEW] One very interesting case for MCP: Zapier
251. [NEW] Popular MCP Servers
252. [NEW] Understanding Security Risks in MCP
Chapter 49: [NEW] The new A2A Protocol
253. The new A2A Protocol
Chapter 50: [NEW] The new ChatGPT Agent
254. The new ChatGPT Agent
Chapter 51: [NEW] How to use Coding Assistants and Vibe Coding
Tools properly
255. Note: For its relevance, we reproduce here this section
from Bootcamp #1
256. [NEW] Using the new Vibe Coding Tools with Coding
Assistants: the new Revolution
257. How to use Coding Assistants and Vibe Coding Tools
properly
258. Software Engineering has changed definitively
259. How to Plan your App with Cursor, Claude Code, etc
260. How to Write Prompts for Cursor, Claude Code, etc
261. Foreground Agents and Background Agents: What are they
and when to use them
262. How to Review your Code with Cursor, Claude Code, etc
263. The role of Tests, Linters, and Type Systems in Cursor,
Claude Code, etc
264. How to maintain your code with Cursor, Claude Code, etc
265. Cursor and Claude Code: Advice for Beginners and Non-
Developers
266. Cursor and Claude Code: How software teams will work in
the future... today.
267. Final Thoughts: How to properly use Coding Assistants
and Vibe Coding Tools
268. [NEW] The new Codex from OpenAI
269. [NEW] A practical example using Codex
270. COME BACK OFTEN: We update this program very frequently
271. More updated information about AI Coding Assistants
272. REMINDER: Please leave your review and share your
experience.
Chapter 52: [NEW] AI Agents working in your computer: Open
Claw, Clawdbot, Moltbot, Moltbook
273. What is Open Claw? What are Open Claw Bots, Clawdbots,
and Moltbots?
274. Moltbook: The Social Network Where Only AI Agents Are
Allowed
275. Quickstart Guide to start using Open Claw Bots
Chapter 53: BONUS SECTION: This will interest you!
276. How this program fits into our bootcamp series on
Generative AI
277. Link to our "2026 Bootcamp: Generative AI, LLM Apps, AI
Agents, Cursor AI"
278. Link to our "2026 Bootcamp: Build Web and Mobile Apps
Fast & Easy with AI"
279. Stay tuned! On a monthly basis we send a promotional
email with coupons
280. The Alumni Network
281. Find Consulting Jobs through the Alumni Network
282. Find Job Offers through the Alumni Network
283. Find Startup Cofounders through the Alumni Network
284. How to update your Linkedin profile to be added to the
Alumni Network
285. Our company: our services, how to work with us, how to
partner with us
DATES
Published : 2025-02-18
Last Updated : 2026-02-01
If you fear the truth, don?t come to my well.