About Course
Applied AI Engineering: From Probability to Generative Models & LLM Systems is a 6-month intensive, hands-on program designed to take you from core mathematical and algorithmic foundations to deploying state-of-the-art AI systems, including Generative Models, Transformers, and Large Language Models (LLMs).
Engage in mastering the essentials of linear algebra, calculus, probability, optimization, and neural networks, and then progress to building generative models (VAE, Diffusion), training transformers, and fine-tuning LLMs. Practice mathematical derivations, implement models in NumPy and PyTorch, benchmark performance, and deploy fully functional AI applications. By the end, you’ll be ready to build, optimize, and deploy AI systems, and work as an ML / Generative AI Engineer in the real world.
Who can join?
- Graduates struggling to secure roles in software engineering or AI
- Professionals seeking to integrate modern AI tools like LLMs into their workflows
- BS (CS/SE/AI/Data Science) students who have completed at least 2 years of study
Whether you are beginning your journey, preparing to enter the job market, or upgrading your technical depth, it provides a clear pathway to move from fundamentals to real engineering competence in the age of AI.
Course Content
MONTH 1 · Agentic AI and LLM Systems
-
WEEK 1 – Introduction to Agentic AI
02:09:48 -
WEEK 1 Lab Session – Building Reliable AI Agents with RAG, Tools & Workflows
53:17 -
WEEK 2 – LLM Foundations, Tokenization & Model Economics
02:05:12 -
Week 2 Lab Session – Training AI Model, Tokens & Cost
01:18:15
Student Ratings & Reviews
