Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPT
Udemy Coupon Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPT with 15.5 hours on-demand video course. Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!
Artificial Intelligence A-Z 2024 Course
Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPT Course
Welcome to Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPT Course Learn key AI concepts with intuition lectures to get you quickly up to speed with all things AI and practice them by building 7 different AIs:
- 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.
Besides, you will get a free 3-hour extra course on Generative AI and LLMs with Cloud Computing as a Prize for completing the course.
What you’ll learning
- 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
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