Download Udemy – Practical AI 2023-10

Practical AI


Practical AI course. Where can you find a course on Udemy that can teach you all of the following and more;

OpenAI, ChatGPT, Langchain, Huggingface, Big open source language models, Falcon LLM, Microsoft Phi, LLM Python, Assembly AI, audio programs, embedding, possibility to build and share LLM programs via Chainlit, gradio. Welcome to the ultimate artificial intelligence training course! Ready to dive into the wonderful world of artificial intelligence? Whether you are an aspiring AI developer, a business professional looking for AI solutions, or simply curious about the endless possibilities of AI, this course is designed to meet your needs. Why do you need this? Course: In today’s fast-paced world, artificial intelligence is changing industries and reshaping the way we interact with technology. There is a growing need for practical AI knowledge that goes beyond theory. This is where our course shines! We offer you a journey through the vast realm of artificial intelligence, from basic concepts to real-world application development. Course Highlights:


  • Dive into the realm of Generative AI.
  • Discover the secrets of ChatGPT.
  • Learn how to set up an OpenAI account.

Interaction with OpenAI

  • Set your environment and requirements.
  • Submit your first AI completion request to OpenAI.
  • Protect your OpenAI API key.
  • Master the concept of signs.
  • Control your output with ‘max_tokens’.
  • Answers with the ‘stop’ parameter.
  • Create different types of AI-generated content.
  • Explore the world of AI models.

Using LangChain

  • Introduction to LangChain.
  • Build your own language model application.
  • Enhance your AI interactions with quick formatting.
  • Chain output responses for richer experiences.
  • Combine LangModel models and requests.
  • Discover the power of Agents in LangChain.
  • Log in to the Langchain schema for text and documentation.
  • Explore different types of AI models.

Embraced face

  • Get started with HuggingFace.
  • Create your HuggingFace account.
  • Use the capabilities of HuggingFace Transformers for various NLP tasks.
  • Master the HuggingFace Model and Tokenizer APIs.

Falcon LLM

  • Build a Q&A app using Falcon, HuggingFace and LangChain.

LLM Python

  • Dive into the Python LLM package to explore and create an in-depth conversation.

Chainlit – Create LLM programs quickly

  • Act with Chainlit and its integration with OpenAI and LangChain. You’ll even learn how to chat with a PDF document!

Ready to brush up on your AI skills and embark on this transformative journey?
Enroll in our course now and unlock the full potential of AI.
Whether you’re a beginner or a seasoned developer, there’s always something new to learn in the world of AI.
Sign up today and take the first step towards AI mastery.

What you will learn in the Practical AI course

  • ChatGPT, Langchain, Huggingface, Llama Index, Embedding, Vector Database, 10+ models, Create/Share models, Chainlit, Gradio, Vector Database and many more..

  • Meet OpenAI, Huggingface, Falcon Large Language Models

  • Build amazing LLM programs with Chainlit

  • Integrate OpenAI API, Open Source LLM with Python

  • Making artificial intelligence applications, ChatBot

  • Create ChatBot Q&A on your data, PDF and more…

This course is suitable for people who

  • Anyone who wants to explore the world of artificial intelligence
  • Anyone who wants to enter the world of artificial intelligence with hands-on learning

Practical AI course specifications

  • Publisher: Udemy
  • teacher: Adnan Waheed
  • Training level: beginner to advanced
  • Training duration: 15 hours and 28 minutes
  • Number of courses: 121

Practical AI course topics on 10/2023

Practical AI

Practical AI course prerequisites

Course images

Practical AI

Sample video of the course

Installation guide

After Extract, view with your favorite Player.

English subtitle

Quality: 720p

download link

Download part 1 – 2 GB

Download part 2 – 2 GB

Download part 3 – 2 GB

Download part 4 – 519 MB

File(s) password:


6.5 GB

Be the first to comment

Leave a Reply

Your email address will not be published.