2027 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI (Udemy.com)
From zero to professional level: learn the keys to Generative AI, LLM Apps, AI Agents, and Cursor AI.
Created by: Julio Colomer
Last updated September 2026
What you will learn
- Keys to Generative AI, LLM Apps, AI Agents and AI Assistants like Cursor & Claude Code.
- LLM Apps and AI Agents with LangChain, CrewAI, LangGraph, and LangSmith.
- How to build apps without coding using Cursor AI, Claude Code, and others.
- How to build the new Multimodal and Multi-Agent LLM Applications.
- Opportunities and threats of AI for businesses, startups, and jobs.
- RAG Applications in Depth: Full Stack RAG Apps and Advanced Techniques.
- How to manage LLMOps: Observability, Evaluation, Testing, Etc.
- Professional opportunities opened by Artificial Intelligence.
- Steps to become an Artificial Intelligence Engineer.
- How to introduce Artificial Intelligence into your business.
- Keys to build and deploy LLM Applications and AI Agents.
- Architecture of professional LLM Applications.
- The RAG Technique (Retrieval Augmented Generation).
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.2 out of 5higher than 9% of them
- Reviews4,692#44 of 462 by number of reviews
- Length89.7 hourslonger than 98% of them
- Last updatedSeptember 2026more recently than 91% of them
Course Description
This Online Bootcamp is a compact and accelerated version of our 400-hour in-person master's program.
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 68,500 students from 164 countries — this Bootcamp has been ranked #1 worldwide.
It has four parts:
- In Part 1, you will learn the keys to Artificial Intelligence and the new Generative AI, as well as its potential to revolutionize businesses, startups, and employment.
- In Part 2, you will learn to build professional-level LLM Applications and AI Agents using a safe and error-free learning environment. You will also learn how to build Advanced RAG Apps, Multimodal Apps, Dynamic Agents, Multi-Agent Apps, and how to manage LLMOps.
- In Part 3, you will learn how to build traditional and Gen AI apps without coding using Cursor AI and the new AI Coding Assistants. You will learn what are AI Coding Assistants like Cursor AI, Claude AI, v0, o1, Replit Agent, etc, and how to increase their performance by combining them with tools like the Replit platform, simplified backends like Firebase, Replicate AI, Stable Fusion, or Deepgram. You will also learn about the new AI Agents that can work in your computer: Open Claw Bots, Clawdbots, Moltbots, and Moltbook.
- In Part 4, you will learn how to create SaaS applications without coding using Cursor AI. You’ll also see, through two high-level real-world examples, how Generative AI is transforming the SaaS (Software as a Service) model.
By the end of this program, you will know how to do the following:
AI AND BUSINESS
Know the businesses that AI puts at risk of disappearing.
Know the new opportunities created by AI for businesses.
Design a plan to introduce AI into your company.
Select an appropriate pilot project to introduce AI into your company.
Form the first AI team in your company.
Prepare your company's AI strategy.
AI AND STARTUP
Identify 100 opportunities to create AI startups.
AI AND EMPLOYMENT
Know the professions that AI puts at risk of disappearing.
Know the new professions created by AI.
LLM APPLICATIONS AND AI AGENTS, THE APPLICATIONS WITH THE GREATEST POTENTIAL OF GENERATIVE AI.
Know the main use cases of LLM Applications in businesses and startups.
RAG LLM Applications.
Multimodal LLM Applications.
AI Agents.
Multi-Agent LLM Applications.
CREATION OF PROFESSIONAL LLM APPLICATIONS AND AI AGENTS.
You will learn the differences between LLM Applications and AI Agents.
You will learn the Architecture of an LLM Application.
You will learn how to learn programming languages like Python and Javascript.
You will learn to work with your computer's terminal.
You will learn to work with Jupyter notebooks.
You will learn to work with code editors like Visual Studio Code.
You will learn to work with virtual environments.
You will learn to work with hidden files to save credentials.
You will learn how to use different LLM models (OpenAI, DeepSeek, Meta, Mistral, Anthropic, Groq, etc).
You will learn the RAG (Retrieval Augmented Generation) technique.
You will learn to use LangChain, including the new 1.0 version and later.
You will learn to use the LangChain Expression Language (LCEL).
You will learn LCEL in depth.
You will learn how to work with Middleware and Dynamic Agents.
You will learn to use the new versions of LangChain (1.0 and later).
You will learn to use LlamaIndex.
You will learn to use the OpenAI API.
You will learn to use OpenAI's functions.
You will learn to use LangSmith.
You will learn to use LangServe and the new ways to deploy LangChain apps.
You will learn to use templates of LangChain and LlamaIndex.
You will learn what AI Agents are and how to create them.
You will learn to create prototypes of LLM applications and AI Agents with LangChain, Streamlit, and Agent Chat UI.
You will learn to create full-stack CRUD applications with Nextjs, FastAPI, and Postgres.
You will learn to create professional full-stack LLM applications with LangChain, LlamaIndex, Nextjs, Tailwind CSS, FastAPI, Flask, and Postgres.
You will learn to use vector and traditional databases.
You will learn to deploy applications on Vercel and Render.
You will learn to use AWS S3 as a remote storage platform.
You will learn to use ChatGPT as a programming assistant.
You will learn to use GPT4-Vision and GPT4o.
You will learn to work with Github and Github Codespaces.
You will learn what LLMOps is and how to use it in your LLM Applications and Agents.
You will learn the principles of Responsible AI and how to use them in your LLM Applications.
You will learn how to build advanced RAG LLM Applications and Agents.
You will learn how to build the new Multimodal LLM Applications.
You will learn how to build the new AI Agents.
You will learn how to build Multi-Agent Applications.
You will learn to use LangGraph.
You will learn to use CrewAI.
You will learn about the new Deep Agents framework.
APP DEVELOPMENT WITHOUT CODING USING CURSOR AI AND THE NEW AI CODING ASSISTANTS
Cursor AI, the new AI Coding Assistants and the future of software development.
Analysis of Cursor AI and the top AI Coding Assistants.
Top strategies and techniques to get the most from Cursor AI.
The best Cursor AI combo for beginners: custom starter template, Replit, v0, and Firebase.
How to build 6 complete projects without coding using Cursor AI: from a simple to-do list app, to a social network, a chatbot, a tex-to-image app, a voice-to-text app, and a basic full-stack SaaS app with authentication and payment systems.
You will also learn about the new AI Agents that can work in your computer: Open Claw Bots, Clawdbots, Moltbots, and Moltbook.
Instructor Details
- 4.2 Rating
4,692 Reviews
Julio Colomer
CEO of AI Accelera (United States, Canada, Australia, India, UE) and Aceleradora AI (Spain and Latam). Trained +60,000 students from +30,000 top companies of +160 countries. Author of 7 books on Gen AI, Prompt Engineering, AI Agents, AI Startups, AI Consulting, and Agent Engineering. Worked 10 years in Silicon Valley. Always open to meet new business opportunities and collaborate.
Passionate about Generative AI, LLM Apps, AI Agents, and the new AI Coding Assistants like Cursor AI. The day chatGPT was launched, it was clear to me that Generative Artificial Intelligence was going to be my main focus for the next few years, a field in which I had to learn many new things and in which I could apply many of the lessons learned in my previous roles with (Software as a Service) SaaS companies.
Generative AI, LLM Apps, AI Agents, and the new AI Coding Assistants like Cursor AI have all the components I'm passionate about: huge potential, real-time innovation, and a global community of enthusiasts that speaks three languages I understand well: English, software, and Silicon Valley.
Generative AI has already begun to change everything, including the very disciplines on which it is based (Machine Learning, Deep Learning, Data Science, etc). At this exciting moment in history, it's more important than ever to experiment extensively, join forces, and be part of good teams.
In my previous roles I founded, programmed version 1.0, and led a
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Reviews
By Gerhard Coetzer on 9/14/2026
VERY MUCH INFORMATIVE
By Neo Serobatse on 9/1/2026
Yes, training was excellent
By Lucy Mathebula on 8/19/2026
learning new things
By Bhoomi. Sujit. Vandur on 3/31/2026
It was very good. Learnt alot
By Ramanuja Chanduri on 3/18/2026
This course is some places was although painfully long, it covered almost all the important fundamentals to be a new generation software developer. Easy recommendation to any person who wants to get into the field of Generative AI.
By Promise Thabani Nkomo on 1/7/2026
I did AI & Machine learning Data science bootcamp. The knowledge from this course combined with what i currently know grants me more opportunities. Therefore this course is all I needed to support my innovative business ideas. I just started but the few lessons say a lot.
By Amit Tendulkar on 1/2/2026
Important point. Find your rythm and then go through the course accordingly. So far I have completed 20% course and feel this is a good course to gain knowledge around mastering the GenAI development.
By James Thruster on 12/9/2025
horrible accent. partly very difficult to understand. Also constantly trying to point out that everything is 'super important'. However, I do admit, that the course content becomes more relevant once you skipped the first chapters
By Loy Davis on 11/28/2025
As for me, new to the whole AI field, I'm finding it intriguing, and I can't wait to finish the entire course. By the end of this course, I will have gained the knowledge to enter this field.
By Richard Dabel on 11/13/2025
I really enjoyed this course and learning about AI/ML and how it can be applied to everyday life. The knowledge you learn through this course will assist you in taking that next step in your career as an AI/ML engineer.
Quality Score
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Overall Score : 84 / 100






