Download Udemy – 2024 Bootcamp: Generative AI + LLM App Development 2024-2

Description

Course 2024 Bootcamp: Generative AI + LLM App Development. Course: Generative Artificial Intelligence + LLM Program Development 2024. This online bootcamp is an intensive and accelerated version of our 400-hour face-to-face 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 transform businesses, startups and employment.

– In Part 2, Building Professional Level LLM Programs, you will learn the most potential productive AI applications.

At the end of this program, you will learn how to:

Artificial intelligence and business

Know the businesses that artificial intelligence puts in danger of disappearing.
Discover the new opportunities created by artificial intelligence for businesses.
Design a plan to introduce artificial intelligence to your company.
Choose a suitable pilot project to introduce artificial intelligence to your company.
Form the first artificial intelligence team in your company.
Prepare your company’s AI strategy.

Artificial intelligence and startup

Identify 100 opportunities to create artificial intelligence startups.

Artificial intelligence and employment

Find out which professions are threatened by artificial intelligence.
Discover new careers created by artificial intelligence.

LLM programs, applications with the greatest potential for productive artificial intelligence.

Learn about the main uses of LLM programs in businesses and startups.

Creating professional LLM programs.

You will learn the architecture of an LLM program.
You will learn how to learn programming languages such as Python and JavaScript.
You will learn to work with your computer terminal.
You will learn to work with Jupyter notebooks.
You will learn to work with code editors such as Visual Studio Code.
You will learn to work with virtual environments.
You will learn to work with secret files to store credentials.
You will learn RAG (Retrieval Augmented Generation) technique.
And…

Topics covered in this bootcamp: Artificial Intelligence, Generative AI, AI Applications, LLM Applications, Full Stack Applications, LangChain, LangChain Expression Language (LCEL), LangChain v010, LlamaIndex, OpenAI, OpenAI API, RAG, RAG Technique, Databases Data mining, Postgres, Pinecone, , Streamlit, Nextjs, Vercel, FastAPI, Render, AWS S3, LangSmith, LangServe, LangChain Templates, LlamaIndex Templates, LLMOps, Responsible AI.

What you will learn in Bootcamp 2024: Generative AI + LLM App Development

Keys to Artificial Intelligence and New Generative Artificial Intelligence.
Keys to LLM programs, the highest potential for productive artificial intelligence applications.
How to build an LLM program from scratch to professional level.
Artificial intelligence opportunities and threats for businesses, startups and businesses.
Career opportunities opened up by artificial intelligence.
Steps to become an artificial intelligence engineer
How to bring artificial intelligence into your business?
LLM Professional Programs Architecture.
RAG (Recovery Amplified Generation) technique.
Artificial intelligence agents
Basic and advanced LangChain, LangChain LCEL and LangChain v010. LangSmith, LangServe, LangChain patterns.
LlamaIndex basic and advanced. LlamaIndex Templates.
ChatGPT, OpenAI, OpenAI and OpenAI API functions.
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.
Temporary deployment: Streamlit.
Cloud hosting: AWS S3.
How to apply the principles of responsible artificial intelligence.
AI engineer’s daily tools: Jupyter notebooks, Python, Terminal, Github, Codespaces, and more.

This course is suitable for people who

Students and professionals with and without previous experience.
Students without prior knowledge are interested in taking advantage of the professional opportunities opened up by the field of artificial intelligence.
Managers who are interested in introducing artificial intelligence in their company.
Machine learning, deep learning and data science professionals are interested in expanding their career opportunities in the field of artificial intelligence applications and LLM.
Software developers interested in expanding their career opportunities by learning to develop generative artificial intelligence and LLM applications.