Advanced AI
Generative AI Engineering
LLMs, prompting, embeddings, vector search, RAG and tool calling.
10 weeks Beginner to Advanced
Online LiveRecorded Course
Advanced AI & Generative AI Courses Online Courses
Modern AI application engineering combines models with retrieval, tools, data and workflows. Our online AI courses take you from Python and machine learning to LLMs, prompting, embeddings, vector databases, RAG, tool calling, AI agents, agentic workflows and the Model Context Protocol (MCP), with real projects you can show in interviews.
Book a Free DemoAdvanced AI Courses We Offer
Advanced AI
AI Agents, Agentic AI & MCP
Build AI agents that plan, use tools and connect to systems through MCP.
10 weeks Intermediate
Online LiveRecorded Course
Advanced AI
AI Application Development
Build full AI products: LLM APIs, RAG, vector search, agents and deployment.
12 weeks Intermediate
Online LiveRecorded Course
Advanced AI
AI & Machine Learning Engineering
Python, statistics, ML, deep learning, transformers, LLMs and fine-tuning.
24 weeks Beginner to Advanced
Online LiveRecorded Course
Advanced AI Course FAQs
Do I need coding experience to join an AI course?
No. Our AI programs start with Python fundamentals, so freshers and non-IT graduates can join. Working professionals can move directly to the Generative AI and AI Agents modules.
What is the difference between RAG, AI Agents and MCP?
RAG retrieves relevant knowledge and sends it to an LLM to ground its answers. An AI agent uses tools toward a goal. MCP is a standardized way to connect AI applications to tools and data. We teach all three and when to use each.
Is an LLM alone enough for an enterprise application?
No. Real applications combine LLMs with retrieval (RAG), tools, data and workflows. This course teaches that complete stack.
Is this course available online?
Yes. Join live online classes from anywhere, or learn with recorded videos.
What is the difference between an AI agent and agentic AI?
An AI agent uses tools to perform tasks toward a goal. Agentic AI is the broader approach of multi-step AI work with planning, tool use, feedback and varying autonomy.
What are the prerequisites?
Basic Python or JavaScript and familiarity with LLMs. Our Generative AI course covers everything you need beforehand.
Which programming language is used?
You can build in Python, Node.js, Java or C#. Trainers support all four stacks.
How much maths is needed?
School-level maths is enough to start. Statistics, probability and linear algebra are taught in the course.