Learn How To Build An AI
Dive into the essentials of AI, where we guide you through critical concepts using intuitive lessons that speed up your understanding of artificial intelligence. Then, get hands-on by building 7 unique AI models designed for real-world challenges:
Develop a Q-Learning AI to optimize warehouse processes in a case study on process optimization.
Create a Deep Q-Learning AI that can simulate lunar landings.
Use Deep Convolutional Q-Learning to train an AI for classic arcade gaming with Pac-Man.
Build an AI using the A3C (Asynchronous Advantage Actor-Critic) model to master Kung Fu.
Train a self-driving car AI with Proximal Policy Optimization (PPO).
Implement a Soft Actor-Critic (SAC) AI for advanced self-driving applications.
Fine-tune a cutting-edge pre-trained LLM (Llama 2 by Meta) via Hugging Face to create an AI Doctor Chatbot that discusses medical terminology.
But there’s more… After completing the course, you’ll unlock 3 bonus AI models: DDPG, Full World Model, and Evolution Strategies with Genetic Algorithms, all designed with ChatGPT for applications in autonomous vehicles and humanoid systems. Each bonus model includes an in-depth video tutorial, a detailed PDF, and the full Python code.
Special Bonus: Get access to a free 3-hour module on Generative AI and LLMs using Cloud Computing upon course completion.
Here’s what you’ll gain:
A Journey from Novice to Expert – Master coding self-learning AI from scratch across various applications, with each lesson featuring live coding. Watch us write code line by line from a blank slate so you can follow and grasp every step of the process.
Ready-to-Use Coding Templates – Build all your AI models in Google Colab, so there’s no need to deal with installations or library setups. Downloadable Python templates (.py and .ipynb) make it easy to customize and create your own AI projects by simply tweaking a few lines.
Intuition-Focused Learning – We emphasize building a practical understanding of AI without overwhelming