In this lesson, we will review the programs curriculum and we will see what will you be able to do
when you finish the program?
What will you be able to do after completing this program?
You will add to your resume that you are an artificial intelligence expert.
Not just theoretically, but also practically.
You will be able to identify areas where artificial intelligence can be introduced in a company.
You will be able to implement an Artificial Intelligence introduction plan in a company.
You will understand what an artificial intelligence application is and the types of artificial intelligence
applications that exist.
You will move confidently among the different components of artificial intelligence technology Python,
long chain Lambda Index, OpenAI fast API, Next.js, Vercel, render, AWS Lang, Smith Lang, Cerf,
etc. all them will become familiar tools to you.
You will be able to build LLM applications, the artificial intelligence applications with the most
market potential from scratch to a professional level.
You will know in which areas new artificial intelligence startups are being created and how to use your
knowledge to start one.
This bootcamp has the same contents as our in-person master.
For each lesson, we will present the general outline of the lesson in the video.
We will give you the material to complete the study on your own and in the practical lessons we will
give you, solve exercises for you to repeat them and practice.
It will be your job to repeat until you until you master the lesson.
Remember, this is a bootcamp and your commitment is key.
This bootcamp has two parts.
The initial part is about the new artificial intelligence.
The second part is about LM app development.
In the first part we have the following chapters.
The new artificial intelligence, what it is, why it is interesting now and why it is so important.
Changes introduced by the new artificial intelligence.
Introduction.
Changes in employment opportunities and threats.
Training in the new artificial intelligence key to accessing new jobs.
Changes in the company.
Opportunities and threats.
Introduction of artificial intelligence in the company.
Artificial intelligence startups opportunities to create new businesses.
Consulting firms, business advice, advisory services and marketing agencies.
Business opportunities for these companies in the new artificial intelligence market.
In the second part of the program, we will see everything about development of LM apps.
We will see the following chapters.
Use cases for LM applications.
Basic concepts of LMS.
Basic concepts of LM applications.
Architecture of an LM application.
Basic concepts of the rack technique.
Orchestration frameworks.
Long chain lambda index OpenAI.
Basic long chain.
Long chain.
Expression language.
Lang.
Smith.
Lang.
Cerf.
Lang Lang.
Chain templates.
Lang.
Chain.
Chatbot.
Introduction to the programming exercise block.
Basic programming and LM apps.
Python.
Fast API JavaScript.
React.
Next.js.
Basic concepts of the development environment.
Level one applications.
Toy demos with long chain.
Level two applications.
Toy demos with long chain and streamlined Streamlit UI.
Llama index.
OpenAI API introduction to full stack applications.
Level three applications, full stack apps with long chain Lambda Index, fast API, and Next.js.
LM applications.
Advanced concepts.
Latency speed of LM.
Applications.
Cost control of film applications.
LM ops evaluation.
Observability.
Guardrails, monitoring, etc..
And finally, how artificial intelligence engineers stay informed.
By the end of this program, you will master all these concepts.
Generative AI.
Foundation models.
Embeddings.
Vector databases.
Semantic search.
Prompt engineering.
Orchestration frameworks.
Autonomous agents.
LM apps.
LM Ops and Fine tuning.
In this lesson, we have review the program's curriculum.
As you have seen, we have a lot of.
We have.
Also see what you will be able to do next, what you will be able to do when you finish this program.
In the next lesson we are going to see the included materials.
The two books included in the program, the more than 200 presentations and notebooks included in the
program, and the more than 100 coding programs coding projects that are included with the program.