2024 Bootcamp- Generative AI + LLM App Development.

2024 Bootcamp: Generative AI + LLM App Development., available at $54.99, has an average rating of 4.38, with 543 lectures, based on 911 reviews, and has 10021 subscribers.

You will learn about Keys to Artificial Intelligence and the new Generative AI. LLM Apps with LangChain, CrewAI, LangGraph, LangServe and LangSmith. How to create an LLM Application from scratch to professional level. 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 LLM Applications, the highest potential applications of Generative AI. Architecture of professional LLM Applications. The RAG Technique (Retrieval Augmented Generation). Artificial Intelligence Agents. Basic and advanced LangChain, LangChain LCEL, and LangChain v010. LangSmith, LangServe, LangChain Templates. LCEL (LangChain Expression Language) in depth. Basic and advanced LlamaIndex. LlamaIndex Templates. ChatGPT, OpenAI, OpenAI functions, and the OpenAI API. Large Language Models (LLM): ChatGPT, Llama2, Mistral, Falcon, etc. Vector databases: Postgres, Pinecone, Chroma, FAISS, DeepLake, etc. Full-Stack Applications: Nextjs and FastAPI. Professional deployment: Vercel and Render. Provisional deployment: Streamlit. Cloud hosting: AWS S3. How to apply the principles of Responsible AI. Daily tools of the AI Engineer: Jupyter Notebooks, Python, Terminal, Github, Codespaces, etc. This course is ideal for individuals who are Students and professionals with and without previous experience. or Students without prior knowledge interested in taking advantage of the professional opportunities opened by the field of Artificial Intelligence. or Executives interested in introducing Artificial Intelligence into their company. or Machine Learning, Deep Learning, and Data Science professionals interested in expanding their professional opportunities in the area of Generative AI and LLM Applications. or Software application developers interested in expanding their professional opportunities by learning to develop Generative Artificial Intelligence and LLM Applications. It is particularly useful for Students and professionals with and without previous experience. or Students without prior knowledge interested in taking advantage of the professional opportunities opened by the field of Artificial Intelligence. or Executives interested in introducing Artificial Intelligence into their company. or Machine Learning, Deep Learning, and Data Science professionals interested in expanding their professional opportunities in the area of Generative AI and LLM Applications. or Software application developers interested in expanding their professional opportunities by learning to develop Generative Artificial Intelligence and LLM Applications.

Enroll now: 2024 Bootcamp: Generative AI + LLM App Development.

Summary

Title: 2024 Bootcamp: Generative AI + LLM App Development.

Price: $54.99

Average Rating: 4.38

Number of Lectures: 543

Number of Published Lectures: 543

Number of Curriculum Items: 543

Number of Published Curriculum Objects: 543

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Keys to Artificial Intelligence and the new Generative AI.

LLM Apps with LangChain, CrewAI, LangGraph, LangServe and LangSmith.

How to create an LLM Application from scratch to professional level.

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 LLM Applications, the highest potential applications of Generative AI.

Architecture of professional LLM Applications.

The RAG Technique (Retrieval Augmented Generation).

Artificial Intelligence Agents.

Basic and advanced LangChain, LangChain LCEL, and LangChain v010. LangSmith, LangServe, LangChain Templates.

LCEL (LangChain Expression Language) in depth.

Basic and advanced LlamaIndex. LlamaIndex Templates.

ChatGPT, OpenAI, OpenAI functions, and the OpenAI API.

Large Language Models (LLM): ChatGPT, Llama2, Mistral, Falcon, etc.

Vector databases: Postgres, Pinecone, Chroma, FAISS, DeepLake, etc.

Full-Stack Applications: Nextjs and FastAPI.

Professional deployment: Vercel and Render.

Provisional deployment: Streamlit.

Cloud hosting: AWS S3.

How to apply the principles of Responsible AI.

Daily tools of the AI Engineer: Jupyter Notebooks, Python, Terminal, Github, Codespaces, etc.

Who Should Attend

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.

Target Audiences

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.

This Online Bootcamp is a compact and accelerated version of our 400-hour in-person master’s program.

It has two 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, the most potential applications of Generative AI. You will also learn how to build Advanced RAG LLM Apps, Multimodal LLM Apps, AI Agents, Multi-Agent LLM Apps, and how to manage LLMOps.

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, 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.

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 the RAG (Retrieval Augmented Generation) technique.

You will learn to use LangChain.

You will learn to use the LangChain Expression Language (LCEL).

You will learn LCEL in depth.

You will learn to use the new versions v010 and v020 of LangChain.

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.

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 (demos) of LLM applications with LangChain and Streamlit.

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.

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.

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 the new Multi-Agent LLM Applications.

You will learn to use LangGraph.

You will learn to use CrewAI.

The Bootcamp consists of:

Almost 400 lessons divided into 56 sections.

More than 350 videos.

More than 260 attached presentations.

More than 150 practical notebooks.

35 practical code repositories on Github.

40 LLM applications of different difficulty levels: basic, intermediate, and advanced.

Material for more than 200 hours of study and practice for the student.

2 downloadable books valued at $50: “Keys to Artificial Intelligence” and “100 AI Startups that made more than $500,000 before the first year”.

Topics included in this Bootcamp:

AI, Generative AI, AI Applications, LLM Applications, Multimodal LLM Applications, chatGPT, Llama2, GPT-4 Vision, GPT4o, Full-Stack Applications, LangChain, LangChain Expression Language (LCEL), LangChain v010, LangChain v020, LlamaIndex, OpenAI, OpenAI API, RAG, RAG Technique, Vector databases, Postgres, Pinecone, Chroma, DeepLake, Streamlit, Nextjs, Tailwind CSS, Vercel, FastAPI, Flask, Render, AWS S3, LangSmith, LangServe, LangChain Templates, LlamaIndex Templates, LLMOps, Responsible AI, LangGraph, CrewAI, Multi-Agent LLM Apps, AI Agents, Groq, Llama3, Mixtral.

Course Curriculum

Chapter 1: Program presentation

Lecture 1: Program presentation

Lecture 2: [NEW] Generative AI: What is happening in 2024?

Lecture 3: [NEW] The Online Bootcamp: Learning Paths & Learning Rhythms by Student Profile

Lecture 4: [NEW] What will you build in this bootcamp? LLM Apps and Exercises. Take a look!

Lecture 5: [NEW] See what our students are saying about this bootcamp.

Lecture 6: Opportunities this program will open for you

Lecture 7: What will you learn in this program

Lecture 8: Materials included in the program

Lecture 9: Who is this program for

Lecture 10: What makes this program different

Lecture 11: Become part of the Alumni Network

Lecture 12: Distinguish yourself as Honor Student

Lecture 13: Get Consulting Gigs through the Alumni Network

Lecture 14: Get Job Offers through the Alumni Network

Lecture 15: Find Future Startup Team Members through the Alumni Network

Lecture 16: Introduction of the Instructor

Lecture 17: Share your progress

Chapter 2: Tips for the students

Lecture 1: Tips for the students

Lecture 2: Practical tips for the students

Lecture 3: The secret to successfully completing this bootcamp

Chapter 3: INTRODUCTION: LLM Apps, the key to the New AI

Lecture 1: LLM Apps, the key to the New AI

Lecture 2: LLM Apps and the Universalization of AI

Chapter 4: ChatGPT vs. LLM Apps

Lecture 1: ChatGPT vs. LLM Apps

Chapter 5: Download the two books included with the program

Lecture 1: Download the two books included with the program

Chapter 6: PART 1: IMPORTANCE OF ARTIFICIAL INTELLIGENCE AND GENERATIVE AI.

Lecture 1: Note about Part 1: Is this Part Right for You?

Lecture 2: Intro to Artificial Intelligence

Lecture 3: Artificial Intelligence: What is it? Why is so popular now? How important is it?

Lecture 4: Changes introduced by AI: Introduction

Chapter 7: AI: Changes in Employment

Lecture 1: AI: Changes in Employment

Lecture 2: Jobs that will benefit the most from AI

Lecture 3: Jobs most affected by AI

Lecture 4: Jobs least affected by AI

Lecture 5: New professions created by AI

Lecture 6: The new AI Engineers

Lecture 7: [NEW] Data Scientist and ML Engineer vs. the new Generative AI Engineer

Chapter 8: AI: Changes in Businesses

Lecture 1: AI: Changes in Businesses

Lecture 2: Consequences of the changes in employment

Lecture 3: Industries with high impact

Lecture 4: Industries with median impact

Lecture 5: Industries with immediate impact

Lecture 6: Did you like the previous section? Please support us!

Chapter 9: AI: Changes in Startups

Lecture 1: AI: Changes in Startups

Lecture 2: Opportunities for Startups: Characteristics of the New AI

Lecture 3: Opportunities for Startups: Changes in Employment

Lecture 4: Opportunities for Startups: AI impact on Businesses

Lecture 5: Opportunities for Startups: Book “100 AI Startups”

Chapter 10: AI: Changes in Society

Lecture 1: AI: Changes in Society

Lecture 2: Social changes generated by the New AI

Lecture 3: Social challenges generated by the New AI

Chapter 11: How to introduce AI in your company

Lecture 1: How to introduce AI in your company

Lecture 2: Plan to introduce AI in your company

Lecture 3: Tech and Business Analysis to introduce AI in your company

Lecture 4: How to select the right pilot project to introduce AI in your company

Lecture 5: How to form the first AI Team in your company

Lecture 6: How to prepare the AI Strategy of your company

Lecture 7: Example: Plan to adopt a new LLM App in your company

Chapter 12: The new AI Training

Lecture 1: The new AI Training

Lecture 2: AI Training in your company: an strategic necessity

Lecture 3: Who should get AI Training in your company?

Lecture 4: How to design an AI Training Plan for your company

Lecture 5: The new AI Training for engineers

Chapter 13: The new AI creates opportunities for consulting, advisors and marketing agencies

Lecture 1: The new AI creates opportunities for consulting, advisors and marketing agencies

Lecture 2: Opportunities for consulting firms, business advisors, and marketing agencies

Chapter 14: PART 2: LLM APPS, THE GENERATIVE AI APPLICATIONS WITH THE HIGHEST POTENTIAL

Lecture 1: Intro: LLM Apps, the Generative AI applications with the highest potential

Lecture 2: What is an LLM App?

Lecture 3: The myth of pre-requisites for learning

Lecture 4: Most frequent types of students: reasons to learn

Lecture 5: DIY or hire an external professional?

Lecture 6: The long way from the “toy demo” to the professional app

Lecture 7: Job opportunities for the LLM App Developer

Chapter 15: Use Cases for LLM Applications

Lecture 1: Use Cases for LLM Applications

Lecture 2: Use Cases for LLM Apps by Industry

Lecture 3: Use Cases for LLM Apps in Startups

Lecture 4: Use Cases for LLM Apps in Professions

Lecture 5: Most frequent Use Cases for LLM Apps

Lecture 6: Use Cases for LLM Apps by autonomy level

Chapter 16: Intro to LLMs

Lecture 1: Intro to LLMs

Lecture 2: Origins of LLM Apps: AI, ML, NLP, Generative AI, LLMs

Lecture 3: LLM: size, precision, and cost

Lecture 4: The Foundation LLM Models

Chapter 17: LLMs: Basic Concepts

Lecture 1: LLMs: Basic Concepts

Lecture 2: What is the Context Window?

Lecture 3: What are Tokens?

Instructors

Julio Colomer
CEO of AI Accelera and Aceleradora AI

Rating Distribution

1 stars: 45 votes

2 stars: 29 votes

3 stars: 80 votes

4 stars: 249 votes

5 stars: 508 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!