Practical AI

Practical AI, available at $19.99, has an average rating of 3.7, with 125 lectures, based on 27 reviews, and has 392 subscribers.

You will learn about ChatGPT, Langchain, Huggingface, Llama Index, Embedding, Vector Database, 10+ models, Create/Share models, Chainlit, Gradio, Vector Databases and much more.. Learn about OpenAI, Huggingface, Falcon Large Language Models Build amazing LLM apps with Chainlit Integrate OpenAI API, Open Source LLM with Python Build Practical AI Applications, ChatBot Build Question and Answer ChatBot on your own data, PDF and more This course is ideal for individuals who are Anyone who want to explore the world of AI or Anyone who want to step into AI world with practical learning It is particularly useful for Anyone who want to explore the world of AI or Anyone who want to step into AI world with practical learning.

Enroll now: Practical AI

Summary

Title: Practical AI

Price: $19.99

Average Rating: 3.7

Number of Lectures: 125

Number of Published Lectures: 121

Number of Curriculum Items: 125

Number of Published Curriculum Objects: 121

Original Price: $74.99

Quality Status: approved

Status: Live

What You Will Learn

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

Learn about OpenAI, Huggingface, Falcon Large Language Models

Build amazing LLM apps with Chainlit

Integrate OpenAI API, Open Source LLM with Python

Build Practical AI Applications, ChatBot

Build Question and Answer ChatBot on your own data, PDF and more

Who Should Attend

Anyone who want to explore the world of AI

Anyone who want to step into AI world with practical learning

Target Audiences

Anyone who want to explore the world of AI

Anyone who want to step into AI world with practical learning

Where can you will find ONE SINGLE COURSE on Udemy which can teach you all the following and more;

OpenAI, ChatGPT, Langchain, Huggingface, Open Source Large Language Models, Falcon LLM, Microsoft Phi, LLM Python, Assembly AI, Audio Apps, Embedding, Ability to build and share LLM apps via Chainlit, gradio

It is ALL-IN-ONE COURSE!

Welcome to the Ultimate AI Mastery Course!

Are you ready to dive into the fascinating world of Artificial Intelligence? Whether you’re an aspiring AI developer, a business professional seeking AI solutions, or simply curious about the limitless possibilities of AI, this course is designed to meet your needs.

Why You Need This Course:

In today’s fast-paced world, AI is transforming industries and reshaping the way we interact with technology. There’s a growing need for practical AI knowledge that goes beyond theory. That’s where our course shines! We offer you a journey through the vast realm of AI, from foundational concepts to real-world application development.

Course Highlights:

Introduction

Dive into the realm of Generative AI.

Uncover the secrets of ChatGPT.

Learn how to set up an OpenAI account.

Interacting with OpenAI

Set up your environment and requirements.

Make your first AI completion request to OpenAI.

Safeguard your OpenAI API Key.

Master the concept of tokens.

Control your output with ‘max_tokens’.

Craft responses with the ‘stop’ parameter.

Create multiple variations 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 prompt templating.

Chain output responses for richer experiences.

Combine LangModel Models and prompts.

Discover the power of Agents in LangChain.

Dive into Langchain Schema for text and documents.

Explore different types of AI models.

HuggingFace

Get started with HuggingFace.

Create your HuggingFace account.

Harness the capabilities of HuggingFace Transformers for various NLP tasks.

Master the usage of HuggingFace Model and Tokenizer APIs.

Falcon LLM

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

LLM Python

Dive deep into Python’s LLM package for in-depth exploration and conversation creation.

Chainlit – Quickly Create LLM Apps

Get hands-on with Chainlit and its integration with OpenAI and LangChain. You’ll even learn how to chat with a PDF document!

Ready to supercharge 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 an experienced developer, there’s always something new to learn in the world of AI.

DON’T MISS OUT

SIGN UP TODAY and take the first step towards AI mastery.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Generative AI

Lecture 2: Generative AI – Unleashing Creativity with Machines

Lecture 3: What is ChatGPT

Lecture 4: What ChatGPT can do?

Lecture 5: Setup an OpenAI account

Chapter 2: *** USING MODELS ***

Lecture 1: Introduction

Chapter 3: OpenAI – ChatGPT

Lecture 1: What is a Large Language Model (LLM)?

Lecture 2: Setup requirements

Lecture 3: Your first completion request to OpenAI

Lecture 4: How to hide OpenAI API Key

Lecture 5: Other ways to hide the OpenAI API keys

Lecture 6: What are tokens?

Lecture 7: Tokens are building blocks of LLMs

Lecture 8: Using max_tokens

Lecture 9: Using stop parameter

Lecture 10: Create multiple variations

Lecture 11: The world of Models

Lecture 12: A Tour of Large Language Models: Types and Examples

Chapter 4: GPT4 model

Lecture 1: Demystifying GPT-3.5

Lecture 2: GPT-4: The Next Leap in Language Models

Lecture 3: Create your first ChatCompletion request

Lecture 4: GPT Model pricing

Lecture 5: Be cautious about model pricing

Lecture 6: Using roles for effective response

Lecture 7: Using temperature to set the creativity

Lecture 8: Important parameters for ChatCompletion API

Chapter 5: Embedding

Lecture 1: What is embedding?

Lecture 2: Word Embeddings: A Bridge Between Words and Numbers

Lecture 3: Making a single embedding

Lecture 4: Calculating embedding cost

Lecture 5: Apply embedding on a financial dataset – companies business profiles

Lecture 6: Using caching with embedding

Lecture 7: Understanding word similarity

Chapter 6: LangChain

Lecture 1: Introduction to LangChain

Lecture 2: Understanding Langchain

Lecture 3: Creating a language model application

Lecture 4: Using prompt templating

Lecture 5: Chain output responses

Lecture 6: Combine LLMs and prompt2 – Part 1

Lecture 7: Combine LLMs and prompts – Part 2

Lecture 8: Agents – AI can search the internet

Lecture 9: Agents can store memories

Lecture 10: Langchain Schema – Text / Chat Messages

Lecture 11: Langchain Schema – Documents

Lecture 12: Models – Language and Chat Models

Lecture 13: Models – Text Embedding Model

Chapter 7: HuggingFace

Lecture 1: Introduction to HuggingFace

Lecture 2: How HuggingFace is helping developers

Lecture 3: Create a huggingface account

Lecture 4: transformers – sentiment analysis

Lecture 5: Pipeline : Text Generation

Lecture 6: Pipeline : Zero Shot. Classification

Lecture 7: Pipeline : Translations

Lecture 8: Pipeline : Summarization

Lecture 9: Pipeline : Named Entity Recognition (NER)

Lecture 10: Pipeline : Question Answer

Lecture 11: Pipeline : Image Classification

Lecture 12: Using Model + Tokenizer APIs

Lecture 13: Using AutoTokenizer

Lecture 14: Tokenization

Lecture 15: Using AutoModel

Lecture 16: Batching input sequences

Lecture 17: Using Sequence Classification Tasks

Lecture 18: Implementing a model via PyTorch

Chapter 8: Falcon LLM

Lecture 1: What is Falcon LLM

Lecture 2: Create a Q&A app using falcon, huggingface, and langchain

Chapter 9: Microsoft Phi-1.5 LLM

Lecture 1: What is Microsoft Phi LLM

Lecture 2: Run Instructions, Chats and more

Chapter 10: Amazon Bedrock

Lecture 1: What is Amazon Bedrock

Lecture 2: Generative AI – text and image playground

Lecture 3: Amazon Bedrock Pricing

Chapter 11: Google Bard

Lecture 1: Google Bard can SEE and SPEAK 40+ languages

Chapter 12: LLM Python

Lecture 1: Using Python LLM package to explore LLM

Lecture 2: Create conversations with LLM

Chapter 13: Vector Databases

Lecture 1: What is a vector database?

Lecture 2: Revolutionizing Data Storage and Retrieval with Vector Database

Lecture 3: ChromaDB – Introduction

Lecture 4: ChromaDB – Methods on collections

Lecture 5: ChromaDB – Store The Matrix Collections

Lecture 6: ChromaDB – Adding document associated embeddings

Lecture 7: ChromaDB – Query with where filter

Chapter 14: *** AI WITH AUDIO ***

Lecture 1: Introduction

Chapter 15: Whisper

Lecture 1: Potentials with AI with Audio

Lecture 2: Transcribe any YouTube video into text

Lecture 3: Transcribe a non-english audio, and text translations

Instructors

Adnan Waheed
Founder KlickAnalytics and ex-Bloomberg employee

Rating Distribution

1 stars: 2 votes

2 stars: 2 votes

3 stars: 4 votes

4 stars: 9 votes

5 stars: 10 votes

Frequently Asked Questions

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

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