Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPT

BY
Udemy

Gain hands-on experience in data science, deep learning, and machine learning to develop the skills for the development of AI-powered applications.

Mode

Online

Fees

₹ 4099

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPT online certification is created by a team of technological platforms and some excellent industry experts which include Hadelin de Ponteves - Artificial Intelligence Entrepreneur, Kirill Eremenko - Data Scientist, Ligency I Team, SuperDataScience Support, Luka Anicin - AI Engineer & Entrepreneur and Jordan Sauchuk - AI Advisor & Cybersecurity Engineer which Udemy presents. Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPT begins with the fundamentals of artificial intelligence and progresses to more sophisticated topics that allow anyone to develop AI-powered apps from the ground up.

Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPT online classes comprise more than 16.5 hours of detailed video lectures, 22 articles, and two downloadable resources that feature coding templates, solutions, and training that use sophisticated concepts and theories to help develop core skills and artificial intelligence. This course covers a wide range of topics, including Q-learning, deep Q-learning, neural networks, and many others. Individuals will have obtained the ability to create AI using Python and the skills to blend AI with OpenAI Gym to learn as effectively as possible by the end of this session.

The highlights

  • Certificate of completion
  • Self-paced course
  • English videos with multi-language subtitles
  • 16.5 hours of pre-recorded video content
  • 22 articles
  • 2 downloadable resources
  • 30-day money-back guarantee 
  • Unlimited access
  • Accessible on mobile devices and TV

Program offerings

  • Certificate of completion
  • Self-paced course
  • English videos with multi-language subtitles
  • 16.5 hours of pre-recorded video content
  • 22 articles
  • 2 downloadable resources
  • 30-day money-back guarantee
  • Unlimited access

Course and certificate fees

Fees information
₹ 4,099
certificate availability

Yes

certificate providing authority

Udemy

What you will learn

Knowledge of artificial intelligence Knowledge of deep learning

After completing the Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPTcertification course, individuals will develop a solid understanding of the fundamental and advanced ideas of artificial intelligence, as well as deep learning. Individuals will examine the functional differences and similarities of Q-learning, deep Q-learning, and deep convolutional Q-learning concepts. Individuals will learn how to use neural networks, convolutional neural networks, and asynchronous advantage actor-critic approaches. Individuals will also learn how to create AI power apps such as a virtual self-driving car and how to create an AI model that can defeat games.

The syllabus

Welcome to the course!

  • Why AI?
  • Course Structure
  • BONUS: Learning Paths
  • Installing Anaconda
  • BONUS: Meet Your Instructors
  • This PDF resource will help you a lot!
  • FAQBot!
  • Updates on Udemy Reviews
  • Your Shortcut To Becoming A Better Data Scientist!

---------- Part 0 - Fundamentals Of Reinforcement Learning ----------

  • Welcome to Part 0 - Fundamentals of Reinforcement Learning

Q-Learning Intuition

  • Plan of Attack
  • What is reinforcement learning?
  • The Bellman Equation
  • The "Plan"
  • Markov Decision Process
  • Policy vs Plan
  • Adding a "Living Penalty"
  • Q-Learning Intuition
  • Temporal Difference
  • Quiz 1

Q-Learning Visualization

  • Gridworld Set Up
  • Q-Learning Visualization

---------- Part 1 - Deep Q-Learning ----------

  • Welcome to Part 1 - Deep Q-Learning

Deep Q-Learning Intuition

  • Plan of Attack
  • Deep Q-Learning Intuition - Learning
  • Deep Q-Learning Intuition - Acting
  • Experience Replay
  • Action Selection Policies

Deep Q-Learning Implementation

  • Plan of Attack
  • Where to get the Materials
  • Getting Started
  • Self Driving Car - Step 1
  • Self Driving Car - Step 2
  • Self Driving Car - Step 3
  • Self Driving Car - Step 4
  • Self Driving Car - Step 5
  • Self Driving Car - Step 6
  • Self Driving Car - Step 7
  • Self Driving Car - Step 8
  • Self Driving Car - Step 9
  • Self Driving Car - Step 10
  • Self Driving Car - Step 11
  • Self Driving Car - Step 12
  • Self Driving Car - Step 13
  • Self Driving Car - Step 14
  • Self Driving Car - Step 15
  • Self Driving Car - Step 16

Deep Q-Learning Visualization

  • Self Driving Car - Level 1
  • Self Driving Car - Level 2
  • Self Driving Car - Level 3
  • Self Driving Car - Level 4
  • Challenge Solutions

---------- Part 2 - Deep Convolutional Q-Learning ----------

  • Welcome to Part 2 - Deep Convolutional Q-Learning

Deep Convolutional Q-Learning Intuition

  • Plan of Attack
  • Deep Convolutional Q-Learning Intuition
  • Eligibility Trace

Deep Convolutional Q-Learning Implementation

  • Plan of Attack
  • Where to get the Materials
  • Doom - Step 1
  • Doom - Step 2
  • Doom - Step 3
  • Doom - Step 4
  • Doom - Step 5
  • Doom - Step 6
  • Doom - Step 7
  • Doom - Step 8
  • Doom - Step 9
  • Doom - Step 10
  • Doom - Step 11
  • Doom - Step 12
  • Doom - Step 13
  • Doom - Step 14
  • Doom - Step 15
  • Doom - Step 16

Deep Convolutional Q-Learning Visualization

  • Doom - Step 17
  • Quick Note for Colab
  • Doom - Step 18
  • Doom - Step 19
  • Doom - Step 20

---------- Part 3 - A3C ----------

  • Welcome to Part 3 - A3C

A3C Intuition

  • Plan of Attack
  • The three A's in A3C
  • Actor-Critic
  • Asynchronous
  • Advantage
  • LSTM Layer

A3C Implementation

  • Plan of Attack
  • Where to get the Materials
  • Breakout - Step 1
  • Breakout - Step 2
  • Breakout - Step 3
  • Breakout - Step 4
  • Breakout - Step 5
  • Breakout - Step 6
  • Breakout - Step 7
  • Breakout - Step 8
  • Breakout - Step 9
  • Breakout - Step 10
  • Breakout - Step 11
  • Breakout - Step 12
  • Breakout - Step 13
  • Breakout - Step 14

A3C Visualization

  • Watching our AI play Breakout
  • THANK YOU Bonus Video

Annex 1: Artificial Neural Networks

  • What is Deep Learning?
  • Plan of Attack
  • The Neuron
  • The Activation Function
  • How do Neural Networks work?
  • How do Neural Networks learn?
  • Gradient Descent
  • Stochastic Gradient Descent
  • Backpropagation

Annex 2: Convolutional Neural Networks

  • Plan of Attack
  • What are convolutional neural networks?
  • Step 1 - Convolution Operation
  • Step 1(b) - ReLU Layer
  • Step 2 - Pooling
  • Step 3 - Flattening
  • Step 4 - Full Connection
  • Summary
  • Softmax & Cross-Entropy

Bonus Lectures

  • ***YOUR SPECIAL BONUS***

Instructors

Mr Hadelin de Ponteves

Mr Hadelin de Ponteves
Co-founder
Udemy

Mr Kirill Eremenko

Mr Kirill Eremenko
Data Scientist
Udemy

Mr Jordan Sauchuk

Mr Jordan Sauchuk
Cybersecurity Engineer
Freelancer

Mr Luka Anicin

Mr Luka Anicin
AI Engineer
Freelancer

Articles

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