Download Artificial Intelligence A-Z 2026: Agentic AI, Gen AI, and RL For Free
What you’ll learn
Build 7 different AIs for 7 different applications
Understand the theory behind Artificial Intelligence
Master the State of the Art AI models
Solve Real World Problems with AI
Q-Learning
Deep Q-Learning
Deep Convolutional Q-Learning
A3C (Asynchronous Advantage Actor-Critic)
PPO (Proximal Policy Optimization)
SAC (Soft Actor-Critic)
LLMs
Transformers
Low-Rank Adaptation (LoRA) and Quantization (QLoRA)
NLP techniques for Chatbots: Tokenization and Padding
Fine-Tuning an LLM with Knowledge Augmentation
As Extras: DDPG, Full World Model, Evolution Strategies & Genetic Algorithms
Description
Welcome to Artificial Intelligence A-Z!
Learn key AI concepts with intuition lectures to get you quickly up to speed with all things AI and practice them by building 8 different AIs:
Build an AI Agent with a Foundation Model (LLM) for business assistance, all powered by the Cloud.
Build an AI with a Q-Learning model and train it to optimize warehouse flows in a Process Optimization case study.
Build an AI with a Deep Q-Learning model and train it to land on the moon.
Build an AI with a Deep Convolutional Q-Learning model and train it to play the game of Pac-Man.
Build an AI with an A3C (Asynchronous Advantage Actor-Critic) model and train it to fight Kung Fu.
Build an AI with a PPO (Proximal Policy Optimization) model and train it for a Self-Driving Car.
Build an AI with a SAC (Soft Actor-Critic) model and train it for a Self-Driving Car.
Build an AI by fine-tuning a powerful pre-trained LLM (Llama 2 by Meta) with Hugging Face and re-train it to chat with you about medical terms. Simply put, we build here an AI Doctor Chatbot.
But that’s not all… Once you complete the course, you will get 3 extra AIs: DDPG, Full World Model, and Evolution Strategies & Genetic Algorithms. We build these AIs with ChatGPT for a Self-Driving Car and a Humanoid application. For each of these extra AIs you will get a long video lecture explaining the implementation, a mini PDF, and the Python code.
