[Udemy] 2025 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI [8/2025, ENG]

[NEW] See what our students are saying about this bootcamp.
02:53
Program presentation
01:05
[NEW] The Online Bootcamp: Learning Paths & Learning Rhythms by Student Profile
59:24
[NEW] Gift to celebrate our 45,000 students: our Prompt Engineering ebook free!
05:47
[NEW] Advice for the Stressed Student
04:30
[NEW] Generative AI: A world of opportunities. What is happening?
08:27
[NEW] What will you build in this bootcamp? LLM Apps and Exercises. Take a look!
02:24
[NEW] Generative AI skills will help you advance professionally
01:27
Opportunities this program will open for you
04:47
What will you learn in this program
07:05
Materials included in the program
01:50
Who is this program for
01:46
What makes this program different
03:49
Distinguish yourself as Honor Student
04:42
Introduction of the Instructor
03:08
Share your progress
04:38
COME BACK OFTEN: We update this program very frequently
00:36
Tips for the students
00:26
Practical tips for the students
04:33
The secret to successfully completing this bootcamp
06:46
LLM Apps, the key to the New AI
00:32
LLM Apps and the Universalization of AI
23:39
ChatGPT vs. LLM Apps
17:17
Download the two books included with the program
00:04
Reminder: Advice for the Stressed Student
04:30
Note about Part 1: Is this Part Right for You?
02:21
[NEW] Do not make these two mistakes
05:39
[NEW] See the reviews of other students at this point
07:49
Intro to Artificial Intelligence
00:32
Artificial Intelligence: What is it? Why is so popular now? How important is it?
15:04
Changes introduced by AI: Introduction
08:32
AI: Changes in Employment
01:00
Jobs that will benefit the most from AI
03:52
Jobs most affected by AI
03:40
Jobs least affected by AI
03:43
New professions created by AI
08:25
The new AI Engineers
07:40
[NEW] Data Scientist and ML Engineer vs. the new Generative AI Engineer
31:17
AI: Changes in Businesses
00:48
Consequences of the changes in employment
03:34
Industries with high impact
03:22
Industries with median impact
04:48
Industries with immediate impact
04:17
AI: Changes in Startups
01:06
Opportunities for Startups: Characteristics of the New AI
10:45
Opportunities for Startups: Changes in Employment
02:46
Opportunities for Startups: AI impact on Businesses
02:27
Opportunities for Startups: Book “100 AI Startups”
05:13
[NEW] NOTE: AI Agent Startups
00:14
AI: Changes in Society
00:38
Social changes generated by the New AI
03:00
Social challenges generated by the New AI
02:40
How to introduce AI in your company
01:08
Plan to introduce AI in your company
03:41
Tech and Business Analysis to introduce AI in your company
04:50
How to select the right pilot project to introduce AI in your company
04:22
How to form the first AI Team in your company
03:11
How to prepare the AI Strategy of your company
02:34
Example: Plan to adopt a new LLM App in your company
03:55
The new AI Training
00:52
AI Training in your company: an strategic necessity
01:25
Who should get AI Training in your company?
02:07
How to design an AI Training Plan for your company
02:02
The new AI Training for engineers
05:28
The new AI creates opportunities for consulting, advisors and marketing agencies
01:09
Opportunities for consulting firms, business advisors, and marketing agencies
07:02
Introduction
01:32
Reasons and Goals of this new section
02:13
Revolution in the Job Market and Businesses
10:08
Quick Advice to Navigate the Gen AI Job Market
19:41
Revolution in the Coding World
02:47
Revolution in the 3 Trillion Dollar Service Industry
03:03
Revolution in the Startup World
05:21
[NEW] Gen AI makes possible the new Fast-Growing Tiny Startups
11:37
Quick Advice to Navigate the Gen AI Startup and Investment World
10:48
Revolution in the Gen AI Buzz Words
03:43
Revolution in the LLM World
05:46
Revolution in the Orchestration Frameworks
06:05
Revolution in the AI Education Industry
07:06
Intro: LLM Apps, the Generative AI applications with the highest potential
01:10
What is an LLM App?
05:25
The myth of pre-requisites for learning
06:38
Most frequent types of students: reasons to learn
05:53
DIY or hire an external professional?
04:35
The long way from the “toy demo” to the professional app
04:12
Job opportunities for the LLM App Developer
06:48
Use Cases for LLM Applications
04:22
Use Cases for LLM Apps by Industry
14:28
Use Cases for LLM Apps in Startups
04:16
Use Cases for LLM Apps in Professions
05:03
Most frequent Use Cases for LLM Apps
04:44
Use Cases for LLM Apps by autonomy level
05:35
[NEW] NOTE: AI Agents are also LLM Apps. Use Cases.
00:14
Intro to LLMs
00:38
Origins of LLM Apps: AI, ML, NLP, Generative AI, LLMs
04:45
LLM: size, precision, and cost
04:35
The Foundation LLM Models
03:24
LLMs: Basic Concepts
00:39
What is the Context Window?
02:25
[NEW] The Evolution of Context Windows in LLMs (2022–2025)
01:57
What are Tokens?
02:30
What are Prompts?
03:29
What is Prompt Engineering?
14:52
What are Hallucinations?
04:57
Prompt Engineering Update: Do you speak Generative AI? Beginner's Guide
13:24
Prompt Engineering Book Preview
05:47
[NEW] Gift to celebrate our 45,000 students: our Prompt Engineering ebook free!
05:47
Architecture of an LLM App
00:34
Basic Architecture of an LLM App
01:45
Advanced Architecture of an LLM App
04:15
[NEW] NOTE about the SEC Insight APP referred in the next lesson
00:33
Preview of a professional LLM App (1)
08:47
Preview of a professional LLM App (2)
03:57
Details of the advanced architecture of an LLM Application
00:55
Selection of Foundation LLMs
03:58
Stack of tools
09:46
Orchestration Frameworks
05:25
Other interesting notes
03:33
The RAG Technique (Retrieval Augmented Generation)
00:44
Basic Concepts
15:23
Components
05:49
RAG Technique: Advanced Concepts
04:40
Challenges
02:46
[NEW] Cache-Augmented Generation (CAG)
03:02
Selecting Orchestration Framework: LangChain, LlamaIndex or OpenAI API?
00:48
LangChain, LlamaIndex or OpenAI API?
21:29
[NEW] LangChain makes a great move: implications of the LangSmith News
12:25
Why we decide to use the LangChain ecosystem
02:25
Intro to the usage of Programming Languages
00:48
Never programmed before? Do not worry.
06:50
REMEMBER: In Part 3 you will learn the new way to program with Coding Assistants
00:27
[NEW] What is "Vibe Coding", the newest buzz word in programming?
02:20
Practical Tips if you are new to programming
12:48
DEMO: W3Schools and ChatGPT in action
05:58
[NEW] Python and Javascript for LLM App Developers: the important parts (part 1)
05:18
[NEW] Python and Javascript for LLM App Developers: the important parts (part 2)
51:52
Don't worry if what you see in the upcoming lessons sounds too technical
00:16
Virtual environment: what is it, why is it important and how to create one (1)
01:08
Virtual environment: what is it, why is it important and how to create one (2)
07:57
[NEW] Create a virtual env and install Jupyter Lab to access notebooks (1)
01:50
[NEW] Create a virtual env and install Jupyter Lab to access notebooks (2)
05:15
FOR WINDOWS SYSTEMS: How to create a virtual env and install Jupyter Lab
01:31
Terminal: what is it, why is it important, basic operations (1)
00:50
Terminal: what is it, why is it important, basic operations (2)
03:39
File for secret credentials: why is it important, how to create it
01:01
How to create and read Hybrid Notebooks (code + text) with Jupyter (1)
01:22
How to create and read Hybrid Notebooks (code + text) with Jupyter (2)
01:44
QUICK INSTRUCTIONS: How to create a Notebook and how to perform main operations.
01:52
LangChain: Conceptual Intro, Evolution, and Learning Roadmap
40:08
[NEW] LangChain Second Anniversary: Important Lessons Learned
17:36
[NEW] A Natural Step after this Gen AI Bootcamp: our new Bootcamp on AI Agents
11:03
[NEW] LangChain v030: What is new?
03:57
Before you start: Important notes to use versions properly.
02:20
INSTRUCTIONS: Make sure you have Poetry version 1.8.2 installed
02:03
LangChain Learning Stack: Videos, Detailed Notebooks, and stable Code.
21:54
Live demo: how to download the repo, install packages, open notebooks & run code
28:03
Link to download the notebooks and code associated with the previous lecture
00:00
The Path of the Gen AI Engineer
04:15
NOTE: THE NEXT LESSONS OF THIS SECTION ARE FOR YOUR SECOND ROUND
00:25
How to use more modern versions of Python and Poetry
00:31
Installing a more modern version of Python, for example Python 3.13.3
01:05
Installing a more modern version of Poetry BESIDES the one you already have
02:55
Installing a more modern version of Poetry
00:55
How to create virtual environments with the newer versions of Poetry
02:07
LangChain Basics: How to start talking with an LLM
09:01
Link to download the notebooks and code associated with this section
00:00
How to connect with the most popular LLM: OpenAI
29:27
NOTE: OpenAI now requires you to log in to access and utilize the Playground env
00:16
UPDATE: How to use OpenAI's GPT-4o Mini instead of GPT3.5
00:15
NOTE to use Mistral in the next exercise
00:08
How to connect with free Open Source LLMs: Llama3, Mistral, etc.
14:01
[NEW] The new DeepSeek LLM: what you need to know about it and how to use it
03:53
[NEW] The new Grok 4: what you need to know about it and how to use it
05:16
[NEW] The new Kimi K2: what you need to know about it and how to use it
03:03
[NEW] The new Open Source Model from OpenAI
02:01
[NEW] The Evolving Landscape of LLMs
04:12
How to talk with LLMs in languages other than English
00:04
Prompt Templates: Introducing programming in your conversation with the LLM
16:44
Chains: Sequences of Instructions
03:54
Output Parsers: Re-formatting the responses of the LLM
10:49
LangChain Basics: How to Work with Data
04:45
REMINDER: Important notes to use versions properly.
02:22
INSTRUCTIONS: Make sure you have Poetry version 1.8.2 installed
02:46
REMINDER: how to download the repo, install packages, open notebooks & run code
28:03
Link to download the notebooks and code associated with this section
00:00
Data Loaders: Load data files and ask the LLM questions about them
23:06
RAG: Load large data assets and ask the LLM questions about them
07:34
Splitters: Divide large data assets in small parts
09:00
Splitters with Metadata: Add helpful information to your splitters
06:37
Embeddings: Transform split data into numbers (vectors)
11:27
Vector Databases (vector stores): Store and search embeddings
09:18
Retrievers: Finding the embedding that best answer your question
07:10
Top k: Setting how many results will be used to build the answer
07:01
RAG with LCEL: First look to the condensed LCEL way
05:30
Indexing: Advanced way to manage documents in vector stores
04:54
LangChain Basics: LCEL Chains and Runnables, the key LangChain tools
04:01
REMINDER: Important notes to use versions properly.
02:22
INSTRUCTIONS: Make sure you have Poetry version 1.8.2 installed
02:03
REMINDER: how to download the repo, install packages, open notebooks & run code
28:03
Link to download the notebooks and code associated with this section
00:00
A Simple LCEL Chain: Sequence of actions, Sequence of runnables
05:30
The LangChain Legacy Chain vs. The new LCEL Chain
09:02
The Key LCEL concept you must master: The Runnable Execution Order
07:17
Alternative ways to execute LCEL Runnables: invoke, stream, batch
10:33
Built-in LCEL Runnables: passthrough, lambda, parallel, branch
49:52
Built-in functions for LCEL Runnables: bind and assign
10:54
Combining LCEL chains: coercion, nesting and fallback
08:06
LCEL chains and RAG: A more detailed view
03:03
LangChain Basics: Memory. Can LLM Apps remember?
01:33
REMINDER: Important notes to use versions properly.
02:22
INSTRUCTIONS: Make sure you have Poetry version 1.8.2 installed
02:46
REMINDER: how to download the repo, install packages, open notebooks & run code
28:03
Link to download the notebooks and code associated with this section
00:00
Temporary Memory: buffer memory
22:57
Permanent Memory: chat history
04:40
LangChain Basics: The LangChain Ecosystem
01:48
LangChain Advanced Components
01:14
LangChain and LangSmith (quick intro, more about this later)
08:19
[NEW] NOTE: LangSmith provides region-specific API endpoints
00:28
LangChain and LangServe (quick intro, more about this later)
03:53
LangChain Templates
05:12
The LangChain Documentation Chatbot
01:21
[NEW] Updates in the LangChain Ecosystem with LangChain v030
11:52
LangChain Level 1 Apps: The Top 10 LangChain Apps
02:32
REMINDER: Important notes to use versions properly.
02:22
INSTRUCTIONS: Make sure you have Poetry version 1.8.2 installed
02:46
REMINDER: how to download the repo, install packages, open notebooks & run code
28:03
Link to download the notebooks and code associated with the next app
00:00
Chatbot App with Temporary Memory
16:50
Chatbot App with Permanent Memory
27:41
Link to download the notebooks and code associated with the next app
00:00
App for Key Data Extraction
22:31
Link to download the notebooks and code associated with the next app
00:00
App for Sentiment Analysis
10:50
Link to download the notebooks and code associated with the next app
00:00
App to ask questions over a SQL database
28:22
Link to download the notebooks and code associated with the next app
00:00
App to ask questions over a pdf file with citations
23:15
Link to download the notebooks and code associated with the next app
00:00
Basic Retriever App
29:33
Link to download the notebooks and code associated with the next app
00:00
Basic RAG App
32:00
Link to download the notebooks and code associated with the next app
00:00
Conversational RAG App
34:04
Link to download the notebooks and code associated with the next app
00:00
Basic Tool-Using AI Agent App (LangGraph)
35:31
Link to download the notebooks and code associated with the next app
00:00
Basic App deployed with Langserve: Frontend Playground and FastAPI Backend
20:49
[NEW] Gift to celebrate our 45,000 students: our Prompt Engineering ebook free!
05:47
LangChain Level 2 Apps: Temporary Frontend to test your Proof-of-Concept
01:20
Before you start, please read these notes
02:46
REMINDER: Important notes to use versions properly.
02:22
INSTRUCTIONS: Make sure you have Poetry version 1.8.2 installed
02:03
REMINDER: how to download the repo, install packages, open notebooks & run code
28:03
Link to download the notebooks and code associated with the next app
00:00
App to turn Slang into formal English
17:03
Link to download the notebooks and code associated with the next app
00:00
App to write a Blog Post from a topic
06:27
Link to download the notebooks and code associated with the next app
00:00
App to summarize a TXT file
04:59
Link to download the notebooks and code associated with the next app
00:00
App to Summarize Text
03:34
Link to download the notebooks and code associated with the next app
00:00
App to Extract Key Data from a Product Review
05:22
Link to download the notebooks and code associated with the next app
00:00
App to Evaluate the Quality of the Responses
06:31
NOTE: THE NEXT LESSONS OF THIS SECTION ARE FOR YOUR SECOND ROUND
00:25
Update of the Level 2 Apps
00:58
How to use more modern versions of Python and Poetry
00:31
Installing a more modern version of Python, for example Python 3.13.3
01:05
Installing a more modern version of Poetry BESIDES the one you already have
02:55
Installing a more modern version of Poetry
00:55
How to create virtual environments with the newer versions of Poetry
02:07
Link to download the repo with the code of the next App
00:00
Update App to turn Slang into formal English: Notes
00:13
Link to download the code of the following App
00:00
Update App to write a Blog Post from a topic
00:13
Link to download the code of the following App
00:00
Update App to summarize a TXT file
00:13
Link to download the code of the following App
00:00
Update App to Summarize Text
00:13
Link to download the code of the following App
00:00
Update App to Extract Key Data from a Product Review
00:13
Link to download the code of the following App
00:00
Update App to Evaluate the Quality of the Responses
00:13
LlamaIndex
02:55
Introduction to LlamaIndex
10:45
Why we chose LangChain over LlamaIndex
02:17
NOTE: THE NEXT LESSONS OF THIS SECTION ARE FOR THE SECOND ROUND
00:25
Starting with LlamaIndex in the old times
19:38
The evolution of Llamaindex
02:10
Starting with LlamaIndex today
01:16
If you want to explore LlamaIndex, here you have 15 suggested projects.
02:19
The OpenAI API
01:25
The OpenAI API as alternative to LangChain and LlamaIndex
17:49
Why we chose LangChain over the OpenAI API
02:10
NOTE: THE NEXT LESSONS OF THIS SECTION ARE FOR THE SECOND ROUND
00:25
Starting with the OpenAI API in the old times
04:24
The OpenAI Functions in the old times
03:20
The Evolution of the OpenAI API
01:59
Starting with the OpenAI API today
01:15
If you want to explore the OpenAI API, here you have 15 suggested projects
02:36
Intro to Level 3 LLM Applications: Professional Applications
00:48
Important note for beginners: How to avoid feeling overwhelmed by this section
01:50
Intro to Full-Stack Applications (1)
01:22
Intro to Full-Stack Applications (2)
20:51
Front-End Key Elements in a Level 3 Application
01:08
Next.js and Vercel
09:43
Front-End Key Elements with an Orchestration Framework: LlamaIndex
04:53
Link to download the code of the previous lesson from Github
00:00
Back-End Key Elements in a Level 3 Application
01:14
FastAPI
03:33
Link to download the code of the previous lesson from Github
00:00
Back-End Key Elements with an Orchestration Framework: LangChain
05:09
Link to download the code of the previous lesson
00:00
Level 3 LLM Applications: Professional Applications
01:11
Reminder: Architecture of an Advanced LLM App
04:15
[NEW] NOTE about the SEC Insight App referred in the next lesson
00:33
Reminder: Preview of a Professional LLM App (1)
08:47
Reminder: Preview of a Professional LLM App (2)
03:57
Reminder: main elements of a Professional LLM App
06:44
Basic Level 3 App: CRUD with FastAPI, Postgres and Next.js
07:04
Link to download the code of the Basic Level 3 App from Github
00:00
Basic Level 3 App: What is CRUD? (1)
06:05
Basic Level 3 LangChain App: What is CRUD? (2)
01:38
In case you need it, step-by-step guides about what we do with the Backend
00:42
Basic Level 3 App: How to build the Backend (1)
01:36
Basic Level 3 App: How to build the Backend (2)
33:40
Basic Level 3 App: How to build the Backend (3)
14:42
In case you need it, step-by-step guides about what we do with the Frontend
00:44
Basic Level 3 App: How to build the Frontend (1)
02:25
Basic Level 3 App: How to build the Frontend (2)
12:58
Note: if you build the frontend from scratch
01:09
Basic Level 3 App: How to start the Full Stack App (1)
01:22
Basic Level 3 App: How to start the Full Stack App (2)
03:50
Updated guide about the Render deployment explained in the next video
00:03
Basic Level 3 App: How to deploy the backend to Render.com (1)
01:38
Note: Deploying to Render.com
02:36
Basic Level 3 App: How to deploy the backend to Render.com (2)
07:28
Updated guide about the Vercel deployment explained in the next video
00:04
Basic Level 3 App: How to deploy the frontend to Vercel.com (1)
01:39
Note: Deploying to Vercel.com
00:55
Basic Level 3 App: How to deploy the frontend to Vercel.com (2)
05:24
In case you need it, step-by-step guides about how we build the next app
00:03
Updated guide about the AWS S3 integration explained in the next video
00:04
Medium Level 3 App: CRUD integrated with AWS S3 (1)
02:27
Link to download the App code from Github
00:00
Medium Level 3 App: CRUD integrated with AWS S3 (2)
21:23
Medium Level 3 App: CRUD integrated with AWS S3 (3)
01:04
In case you need it, step-by-step guides about how we build the next app
00:03
Basic Level 3 App with Orchestration Frameworks and LLMs (1)
03:56
Reminder: Modifications introduced by LangChain v010
14:10
Link to download the App code from Github
00:00
Basic Level 3 App with Orchestration Frameworks and LLMs (2)
09:27
In case you need it, step-by-step guides about how we build the next app
00:03
Medium Level 3 App with Orchestration Frameworks and LLMs (1)
03:52
Link to download the App code from Github
00:00
Medium Level 3 App with Orchestration Frameworks and LLMs (2)
05:21
Two VERY interesting Advanced Level 3 LLM Apps in this Bootcamp
00:09
[NEW] NOTE about the SEC Insights app referred in the next lesson
00:35
Analyzing an Advanced Level 3 LLM App (1)
05:08
Analyzing an Advanced Level 3 LLM App (2)
11:25
Other interesting Level 3 LLM Apps (1)
01:04
Other interesting Level 3 LLM Apps (2)
08:36
NOTE: THE NEXT LESSONS OF THIS SECTION ARE FOR YOUR SECOND ROUND
00:25
Update of the Level 3 Apps
00:58
How to use more modern versions of Python and Poetry
00:31
Installing a more modern version of Python, for example Python 3.13.3
01:05
Installing a more modern version of Poetry BESIDES the one you already have
02:55
Installing a more modern version of Poetry
00:55
How to create virtual environments with the newer versions of Poetry
02:07
Link to download the code of the next App
00:00
Guide to update the ToDo App
00:06
Link to download the code of the next App
00:00
Guide to Update the PDF App
00:06
Link to download the code of the next App
00:00
Guide to update the ToDos with AI App
00:07
Link to download the code of the next App
00:00
Guide to update the PDF + RAG App
00:07
LLM Applications: Advanced Concepts
00:44
Database preparation
04:15
RAG Optimization: Advanced Concepts
06:28
Latency and Speed in LLM Applications
05:33
What is MCP and why we talk about it here?
00:19
Is it the right moment for you to learn and practice with MCP?
00:41
Let's have a more detailed explanation of MCP
01:51
According to the hype, why MCP should be a Big Deal?
01:21
The Key components of MCP
00:49
But... is MCP really useful for real-world LLM Apps?
01:45
[NEW] MCP Evolution
03:04
[NEW] MCP Adoption
06:50
Cost control in LLM Applications
07:31
LLMOps
01:04
Intro to LLMOps
10:10
Evaluation: Misaligned Behavior
03:59
Evaluation: Lack of Reproducibility
01:40
Lifecycle Management
05:16
Responsible AI
12:50
LLMOps Solutions
08:49
The new LangChain & LangSmith Announcement
01:35
The new LangSmith Announcement: Summary and Implications (part 1)
03:31
The new LangSmith Announcement: Summary and Implications (part 2)
09:00
Lessons learned: The Full Cycle of Building Professional LLM Apps (part 1)
02:16
Lessons learned: The Full Cycle of Building Professional LLM Apps (part 2)
03:22
Lessons learned: Main Challenges on Each Phase of the LLMOps Cycle (part 1)
03:40
Lessons learned: Main Challenges on Each Phase of the LLMOps Cycle (part 2)
06:04
How LangSmith Solves the Challenges of the Prototyping Phase (part 1)
03:29
How LangSmith Solves the Challenges of the Prototyping Phase (part 2)
15:28
How LangSmith Solves the Challenges of the Beta Testing Phase (part 1)
01:27
How LangSmith Solves the Challenges of the Beta Testing Phase (part 2)
09:48
How LangSmith Solves the Challenges of the Production Phase (part 1)
02:28
How LangSmith Solves the Challenges of the Production Phase (part 2)
04:29
LangSmith by LangChain in Depth
02:05
LangSmith by LangChain: Official Definition, Terminology and FAQs (part 1)
02:59
LangSmith by LangChain: Official Definition, Terminology and FAQs (part 2)
20:21
[NEW] NOTE: LangSmith provides region-specific API endpoints
00:28
LangSmith: Initial Operations (part 1)
01:03
LangSmith: Initial Operations (part 2)
08:29
LangSmith solutions for the Prototyping Phase (part 1)
02:32
LangSmith solutions for the Prototyping Phase (part 2)
10:09
LangSmith Datasets: Advanced Tips (part 1)
01:13
LangSmith Datasets: Advanced Tips (part 2)
06:18
LangSmith solutions for the Beta Testing Phase (part 1)
01:27
LangSmith solutions for the Beta Testing Phase (part 2)
08:45
LangSmith solutions for the Production Phase (part 1)
01:23
LangSmith solutions for the Production Phase (part 2)
06:15
LangSmith: Advanced Tips (part 1)
01:14
LangSmith: Advanced Tips (part 2)
03:58
LangSmith: How-To Guides, Use Case Guides, and Recommendations (part 1)
01:17
LangSmith: How-To Guides, Use Case Guides, and Recommendations (part 2)
04:39
LangSmith Next Features: Detailed View (part 1)
01:08
LangSmith Next Features: Detailed View (part 2)
03:25
LangSmith Versions
04:02
[NEW] LangSmith Updates with LangChain v030
03:06
LangSmith At Work: From Basic Example to Professional Project (part 1)
01:07
LangSmith At Work: From Basic Example to Professional Project (part 2)
02:00
LangSmith At Work: From Basic Example to Professional Project (part 3)
05:21
[NEW] Gift to celebrate our 45,000 students: our Prompt Engineering ebook free!
05:47
NOTE: THE NEXT LESSONS OF THIS SECTION ARE FOR YOUR SECOND ROUND
00:25
LangSmith: Updates and Advanced Techniques
01:04
Multimodal LLM Applications with LangChain
01:24
What are Multimodal LLM Applications?
02:12
What LLM Models will we use to create Multimodal LLM Apps?
05:10
IMPORTANT: OpenAI has replaced the model GPT4-Vision with the new model GPT4o
00:05
GPT4-Vision: How to Use It
02:28
GPT4-Vision: Main Use Cases
11:20
GPT4-Vision: Limitations
06:39
If GPT4-V is so good, why do we need Multimodal LLM Apps for?
04:02
How to Build Multimodal LLM Apps: Alternative Ways
03:56
NOTE: We have updated the this app using poetry.
00:07
REMINDER: Important notes to use versions properly.
02:22
IMPORTANT: Make sure you have Poetry version 1.8.2 installed
02:03
REMINDER: how to download the repo, install packages, open notebooks & run code
28:03
Link to download the notebooks and code associated with the next app
00:00
How to Build Multimodal LLM Apps with LangChain and GPT4-Vision (1)
03:51
How to Build Multimodal LLM Apps with LangChain and GPT4-Vision (2)
25:52
NOTE: THE NEXT LESSONS OF THIS SECTION ARE FOR YOUR SECOND ROUND
00:25
Update of the Multimodal App
00:56
How to use more modern versions of Python and Poetry
00:31
Installing a more modern version of Python, for example Python 3.13.3
01:05
Installing a more modern version of Poetry BESIDES the one you already have
02:55
Installing a more modern version of Poetry
00:55
How to create virtual environments with the newer versions of Poetry
02:07
Link to download the code of the App
00:00
Guide to update the Multimodal App
00:06
RAG Applications with LangChain in Depth
01:35
Intro: RAG vs. Large Context LLM Models
02:37
RAG vs. Large Context LLM Models: Is RAG dead, or stronger than ever?
10:03
Intro: Phases of a RAG Application
03:42
Phases of a RAG Application: Code and Resources
25:22
NOTE: THE NEXT LESSONS OF THIS SECTION ARE FOR YOUR SECOND ROUND
00:25
Evolution of RAG and advanced techniques
02:55
Building a Level 3 Advanced FullStack RAG Application with LangChain
06:10
Part 1: Basic RAG functionality and Backend with LangServe (1)
01:40
Link to download the Part 1 code from Github
00:00
Part 1: Basic RAG functionality and Backend with LangServe (2)
32:30
Part 2: Basic frontend with React.js and Tailwind CSS (1)
01:32
Link to download the Part 2 code from Github
00:00
Part 2: Basic frontend with React.js and Tailwind CSS (2)
15:05
Part 3: Advanced frontend functionality (1)
01:09
Link to download the Part 3 code from Github
00:00
Part 3: Advanced frontend functionality (2)
23:42
Part 4: Uploading PDFs and Executing RAG from the UI (1)
01:22
Link to download the Part 4 code from Github
00:00
Part 4: Uploading PDFs and Executing RAG from the UI (2)
14:59
Part 5: Advanced techniques to improve RAG. Multiquery and Chat History (1)
01:10
Link to download the Part 5 code from Github
00:00
Part 5: Advanced techniques to improve RAG. Multiquery and Chat History (2)
36:21
NOTE: THE NEXT LESSONS OF THIS SECTION ARE FOR YOUR SECOND ROUND
00:25
Update of the Level 3 RAG App
00:58
How to use more modern versions of Python and Poetry
00:31
Installing a more modern version of Python, for example Python 3.13.3
01:05
Installing a more modern version of Poetry BESIDES the one you already have
02:55
Installing a more modern version of Poetry
00:55
How to create virtual environments with the newer versions of Poetry
02:07
Link to download the code of the updated Part 1
00:00
Guide to update Part 1
00:07
Link to download the code of the updated Part 2
00:00
Guide to update Part 2
00:07
Link to download the code of the updated Part 3
00:00
Guide to update Part 3
00:07
Link to download the code of the updated Part 4
00:00
Guide to update Part 4
00:07
Link to download the code of the updated Part 5
00:00
Guide to update Part 5
00:07
Advanced techniques to improve the functionality of RAG Apps with LangChain
01:20
Streaming with LangChain
03:40
Chat History (Chat Memory) with LangChain
03:28
Getting Sources
05:02
RAG with AI Agents
04:33
Advanced techniques to improve the performance of RAG Apps
00:42
Multiquery, RAG Fusion, Decomposition, StepBack, Hyde, Routing,Query Structuring
22:52
Multi-Agent LLM Apps in Depth: 10 New Blocks
06:01
Intro to AI Agents
00:57
AI Agents: Agentic Behaviour, Real Examples, What is Coming
24:15
[NEW] A Natural Step after this Gen AI Bootcamp: our new Bootcamp on AI Agents
11:03
[NEW] Our recommendation for beginners: study this block first, then move on
00:17
AI Agents in LangChain
01:01
AI Agents in LangChain: Key Concepts
08:24
OpenAI GPTs and Assistants API vs. LangChain Agents
01:50
OpenAI vs. LangChain: Closed vs. Open Agents
05:04
LangChain Agents: Quickstart
01:32
LangChain Agents Quickstart: Building a Tool-Using Agent with Memory
10:13
Intro to Multi-Agent LLM Apps: AutoGen, LangGraph and CrewAI
00:55
Multi-Agent Frameworks: AutoGen, LangGraph and CrewAI
13:39
Multi-Agent LLM App Development: Intro to LangGraph by LangChain
01:02
LangGraph by LangChain: Key Concepts
06:17
LangGraph by LangChain: Quickstart
01:50
LangGraph Quickstart: Basic Agents with Router, Conditional Edges & Cycles
20:52
Basic Multi-Agent LLM App with LangGraph
03:44
NOTE: We have updated the this app using poetry.
00:07
REMINDER: Important notes to use versions properly.
02:22
INSTRUCTIONS: Make sure you have Poetry version 1.8.2 installed
02:03
REMINDER: how to download the repo, install packages, open notebooks & run code
28:03
Link to download the notebooks and code associated with the next app
00:00
Step by Step: Basic Multi-Agent LLM App with LangGraph
36:44
Intro to CrewAI
03:06
Intro to CrewAI: Key Concepts
27:18
CrewAI in Depth
01:14
CrewAI in Depth: Comprehensive Guide and Samples
01:02:04
Basic Multi-Agent LLM App with CrewAI
01:02
NOTE: We have updated the this app using poetry.
00:07
REMINDER: A few notes that may help you
09:21
INSTRUCTIONS: Make sure you have Poetry version 1.8.2 installed
02:03
REMINDER: how to download the repo, install packages, open notebooks & run code
28:03
Link to download the notebooks and code associated with the next app
00:00
Step by Step: Basic Multi-Agent LLM App with CrewAI
17:08
A low cost option: CrewAI with Groq, Llama3 and Mixtral
01:52
Link to download the code of the project from Github
00:00
A low cost option: Testing CrewAI with Groq, Llama3 and Mixtral
12:59
Full Stack Multi-Agent LLM App with CrewAI in 9 Parts
01:37
Link to download the code of Part 1 from GitHub
00:00
Full Stack Multi-Agent LLM App with CrewAI: Part 1
34:59
Recommendation: free up space by uninstalling the packages
00:17
Link to download the code of Part 2 from GitHub
00:00
Full Stack Multi-Agent LLM App with CrewAI: Part 2
09:49
Link to download the code of Part 3 from GitHub
00:00
Full Stack Multi-Agent LLM App with CrewAI: Part 3
07:00
Link to download the code of Part 4 from GitHub
00:00
Full Stack Multi-Agent LLM App with CrewAI: Part 4
11:03
Link to download the code of Part 5 from GitHub
00:00
Full Stack Multi-Agent LLM App with CrewAI: Part 5
21:26
Link to download the code of Part 6 from GitHub
00:00
Full Stack Multi-Agent LLM App with CrewAI: Part 6
09:19
Link to download the code of Part 7 from GitHub
00:00
Full Stack Multi-Agent LLM App with CrewAI: Part 7
07:16
Link to download the code of Part 8 from GitHub
00:00
Full Stack Multi-Agent LLM App with CrewAI: Part 8
07:10
Link to download the code of Part 9 from GitHub
00:00
Full Stack Multi-Agent LLM App with CrewAI: Part 9
17:15
[NEW] A Natural Step after this Gen AI Bootcamp: our new Bootcamp on AI Agents
11:03
[NEW] Gift to celebrate our 45,000 students: our Prompt Engineering ebook free!
05:47
NOTE: SECOND ROUND ON AI AGENTS AND MULTI-AGENT APPLICATIONS
00:07
Recommended Learning Path and Rhythm according to your profile
12:10
Cursor AI, v0, Replit, etc: A Revolutionary Change... for you.
01:33
Cursor AI, v0, Replit, etc: Implications of the Revolutionary Change
21:01
Why this is important for you?
11:13
Implications in your Learning Journey
10:31
How did we get here?
08:27
The past: Flowise, LangFlow, Devin...
04:11
The present: Cursor AI, Claude AI, o1, v0, Replit Agent...
16:25
Cursor AI and other Gen AI Coding Assistants: Essential concepts
01:21
General Intro to Cursor AI and other Gen AI Coding Assistants
14:28
General Tips to work with Cursor AI and other Gen AI Coding Assistants
09:22
The immediate future of Gen AI Coding Assistants
08:50
[NEW] Cursor AI vs. similar tools like Bolt, Windsurf, Lovable, and others
01:49
Cursor AI, Claude, o1, v0, Replit: Top Gen AI Coding Assistants Today
04:11
Initial classification of Gen AI Coding Assistants
04:24
v0, the front-end Gen AI Coding Assistant from Vercel
15:53
Claude 3.5 Sonnet, the Gen AI Coding Assistant from Anthropic
08:18
o1, the Gen AI Coding Assistant from OpenAI
04:58
Cursor AI, the Top Gen AI Coding Assistant today
02:37
Replit Agent, the Gen AI Coding Assistant from Replit
05:36
[NEW] Gift to celebrate our 45,000 students: our Prompt Engineering ebook free!
05:47
Top Strategies to get best results with Cursor AI and Coding Assistants
01:10
A few caveats before starting with Cursor AI: cost options and others
05:33
Cursor AI for Beginners vs. Experts. Two important caveats.
08:07
Cost of Cursor AI and similar tools: Pricing plans and Free Options.
06:56
Building a Basic Full-Stack App with Cursor AI, v0, Replit, and Firebase
10:23
Why we choose this combo: Cursor AI, v0, Replit and Firebase
13:57
Firebase/Supabase and Cursor AI: advantages of working with simplified backends
08:29
Recommended process to build apps with Cursor AI, v0, Replit and Firebase
02:02
Step by step process to build apps with Cursor AI, v0, Replit and Firebase
12:17
How to build a Basic Full-Stack App with Cursor AI, v0, Replit, and Firebase
02:01
Using the v0 Gen AI Coding Assistant to generate the frontend code
12:57
Using a standard Next.js template as Starter Template for Cursor AI
04:31
Solving the version error in the Next.js template
03:19
A minor customization of the starter template
02:29
Loading the starter template to a github repo
02:05
Creating a new project (Repl) in Replit importing a github repo
11:33
Connecting Cursor AI and Replit
03:39
Opening our starter template in Cursor AI
06:05
Creating a new project in Firebase and using the Replit Secrets
05:12
Creating a database in Firebase
02:02
Creating storage in Firebase
01:18
Enabling User Authentication for our App with Firebase
04:57
Pre-viewing the app with Replit Webview and creating a Replit Template
03:39
Connecting Replit and Github
03:17
How to deploy an app with Replit
02:57
Cursor AI: using the right prompts to make Composer build our app
14:31
Cursor AI: debugging process with Composer
13:58
Building a Basic App with Cursor AI, v0, Replit, and Firebase: Conclusions
07:39
Replit in depth
04:15
A comprehensive Replit Cheatsheet
22:01
Cursor AI in depth
04:30
Cursor AI Installation
07:14
Cursor AI Configuration: Settings
22:40
Cursor AI Quickstart: Main Operations
38:45
Cursor AI Tips and Recommendations
05:47
[NEW] Significant Updates in Cursor
24:28
Building Advanced Apps with Cursor AI, Replit, Replicate AI, Deepgram, etc
01:41
The power of Cursor AI with customized starter templates
03:32
Cursor AI, Replit, and Firebase Authentication: Building a Social Network (1)
08:04
Cursor AI, Replit, and Firebase Authentication: Building a Social Network (2)
05:25
Cursor AI, Replit, and Firebase Authentication: Building a Social Network (3)
08:01
Cursor AI, Replit, and Firebase Authentication: Building a Social Network (4)
15:40
Cursor AI, Replit, and Firebase Authentication: Building a Social Network (5)
12:27
Cursor AI, Replit, and OpenAI: Building a Chatbot App (1)
03:38
Cursor AI, Replit, and OpenAI: Building a Chatbot App (2)
14:46
Cursor AI, Replit, Replicate AI, and Stable Fusion: Text to Image App (1)
06:26
Cursor AI, Replit, Replicate AI, and Stable Fusion: Text to Image App (2)
13:16
Cursor AI, Replit, Firebase, and Deepgram: Building a Voice to Text App (1)
06:27
Cursor AI, Replit, Firebase, and Deepgram: Building a Voice to Text App (2)
04:49
Cursor AI, Replit, Firebase, and Deepgram: Building a Voice to Text App (3)
02:52
Cursor AI, Replit, Firebase, and Deepgram: Building a Voice to Text App (4)
06:03
Cursor AI, Replit, Firebase, and Deepgram: Building a Voice to Text App (5)
05:28
Cursor AI is just the beginning: buckle up for a frantic future!!!
05:37
The new Claude Code
05:12
What is Claude Code and why it is the main contender for Cursor?
10:03
Claude Code Quickstart Guide
07:21
The strongest combination: Claude Code + Cursor
03:41
How to use Coding Assistants and Vibe Coding Tools properly
05:21
Software Engineering has changed definitively
05:12
How to Plan your App with Cursor, Claude Code, etc
06:59
How to Write Prompts for Cursor, Claude Code, etc
08:01
Foreground Agents and Background Agents: What are they and when to use them
08:00
How to Review your Code with Cursor, Claude Code, etc
10:30
The role of Tests, Linters, and Type Systems in Cursor, Claude Code, etc
06:16
How to maintain your code with Cursor, Claude Code, etc
07:09
Cursor and Claude Code: Advice for Beginners and Non-Developers
03:24
Cursor and Claude Code: How software teams will work in the future... today.
02:18
Final Thoughts: How to properly use Coding Assistants and Vibe Coding Tools
01:51
Generative AI disruption in SaaS Businesses: Introduction to this new part
23:32
How Generative AI is changing SaaS Businesses: Introduction
01:48
Why you should watch this section
00:54
Real Case #1: Top company replaces major SaaS providers with Gen AI tools
02:28
Real Case #1: Full Details
23:36
Real Case #2: Unicorn Startup shows how "AI Agents will kill SaaS"
06:27
Real Case #2: Full Details
30:34
[NEW] Gift to celebrate our 45,000 students: our Prompt Engineering ebook free!
05:47
Understanding the SaaS Business Model: Introduction
02:54
Why SaaS?
00:49
SaaS: Concept and Origins
03:31
Main challenges of SaaS
01:34
Tech and Business challenges of SaaS Businesses
04:04
Main steps, components, and keys of success in SaaS Startups
01:02
Main steps, components, and keys of success: full details
08:38
SaaS and Micro SaaS: do not be fooled by "get-rich-quick" schemes
06:16
Building a SaaS App with Cursor AI: Introduction
02:42
The advantages of using a SaaS Stater Template
01:01
Downloading and Preparing the SaaS Starter Template
23:03
Building a Basic SaaS App with Cursor AI
02:00
Building a Basic SaaS App with Cursor: a To-Do SaaS App
23:16
Combining the SaaS Template with a Full-Stack Project
03:01
Combining the SaaS Template with a Full-Stack Project: Lessons Learned
10:52
Building a SaaS App with Cursor AI: Conclusions ( ...as of now)
04:33
Top Information Channels for AI Engineers
06:56
Congrats! Next steps.
09:25
COME BACK OFTEN: We update this program very frequently
00:36
[NEW] A Natural Step after this Gen AI Bootcamp: our new Bootcamp on AI Agents
11:03
Link to our "2025 Bootcamp: Understand and Build Professional AI Agents"
00:03
Stay tuned! On a monthly basis we send a promotional email with coupons
00:08
The Alumni Network
01:32
Find Consulting Jobs through the Alumni Network
14:18
Find Job Offers through the Alumni Network
09:25
Find Startup Cofounders through the Alumni Network
06:13
How to update your Linkedin profile to be added to the Alumni Network
00:59
Our company: our services, how to work with us, how to partner with us
25:43