Advanced AI
Generative AI Engineering
LLMs, prompting, embeddings, vector search, RAG and tool calling.
10 weeks Beginner to Advanced
Online LiveRecorded Course
AI & Machine Learning Engineering Course Online
The deeper AI career path. Learn Python, math and statistics, machine learning, deep learning, transformers and LLMs, then fine-tuning, evaluation, observability and AI security, ending with RAG, agents and MCP.
24 weeks Beginner to AdvancedOnline LiveRecorded Course
What You Will Learn
Module 1
Python & Math
- Python
- Statistics
- Probability
- Linear algebra
Module 2
Machine Learning
- Regression and classification
- Ensembles
- Clustering
- Model evaluation
Module 3
Deep Learning
- Neural networks
- CNNs
- Transformers
Module 4
LLMs
- Prompting
- Embeddings
- Vector databases
- RAG
Module 5
Advanced
- Fine-tuning
- Evaluation
- Observability
- AI security
Module 6
Agents & Capstone
- Tool calling
- AI agents
- MCP
- Capstone
What You Practice
- Weekly hands-on labs with real LLM APIs
- Build a RAG or agent mini project every module
- Capstone AI application with demo video
- Mock interviews and portfolio review
How You Are Graded
- Assignments: 30%
- Mini projects: 30%
- Capstone project: 30%
- Attendance & participation: 10%
- Grades: A+ (90+), A (75+), B (60+), C (50+)
Track marks, rank and feedback live in your student portal.
Outcomes
- Train and evaluate ML and deep learning models
- Fine-tune and evaluate LLMs
- Build complete AI systems end to end
Free Tutorials to Get Started
FAQs
How much maths is needed?
School-level maths is enough to start. Statistics, probability and linear algebra are taught in the course.
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