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Specialization Courses/AI & Machine Learning
AI-First Pro specialization
AI-First Pro: Generative AI Engineering Specialization
USP: Agent Engineering. Systems that plan, use tools, and get work done.
- Intermediate
- Instructor-led
- Projects + Experience
- Placement Assurance
Built around practical learning, projects, mentorship, and career readiness.
Real skills. Real solutions. A brighter tomorrow.
What you will learn
Gain in-demand, industry-relevant skill, create meaningful work, and drive smarter decisions with AI as your copilot.
- Design RAG systems that are inspectable and evaluable
- Build agents with tools, memory, and guardrails
- Measure quality instead of trusting vibes
- Ship an agentic workflow that a team could actually run
- Work with Python, LangChain / LlamaIndex, OpenAI / open models
- Prepare toward roles such as GenAI Engineer
Your learning journey
A simple, focused path from learning to real-world impact.
- 1
Learn
Build a strong foundation with live classes, guided content, and hands-on labs.
- 2
Build
Work on real-world projects using industry tools and AI-powered workflows.
- 3
Demonstrate
Create a portfolio, gain practical experience, and get career-ready with mentorship and placement support.
Curriculum at a glance
A structured, hands-on curriculum designed for real-world outcomes.
- How models behave
- Context windows
- Failure modes
- Cost and latency
Projects
Work you can speak about in an interview, not a single weekend demo.
Ops agent
An agent that calls tools, asks when unsure, and logs every step.
Eval harness
Prove the system improved, with numbers, not anecdotes.
Outcomes
What you will be able to do, and the kinds of roles this track prepares you toward.
- Design RAG systems that are inspectable and evaluable
- Build agents with tools, memory, and guardrails
- Measure quality instead of trusting vibes
- Ship an agentic workflow that a team could actually run
GenAI EngineerAgent EngineerAI Product EngineerApplied LLM Engineer
FAQs
It is the discipline of designing AI systems that plan, use tools, remember context, and complete work under human-defined rules. It is the USP of this specialization, beyond chatbot wrappers.