Enterprise knowledge assistant
Generative AI and LLM Engineering
Build production-grade LLM applications, retrieval systems and AI assistants with working AI engineers.
- Duration
- 10 weeks
- Level
- Beginner to advanced
- Format
- Live online
- Next cohort
- 26 Aug 2026
Overview
What this program covers
A hands-on engineering program that takes you from language-model fundamentals to shipping evaluated, deployed generative AI applications. Every module pairs a live class with a build task reviewed by a mentor.
Who it is for
- College students
- Working professionals
- Software engineers
- Product owners
Learning outcomes
- Design and ship retrieval-augmented applications
- Engineer reliable prompts and structured outputs
- Evaluate and control hallucinations
- Deploy a full-stack AI assistant
Curriculum
Week-by-week curriculum
Every module pairs a live teaching session with a guided lab and a reviewed deliverable you keep in your portfolio.
Modules
10
Live teaching hours
30 hrs
Guided lab hours
40 hrs
Tools and technologies
Skills you gain
Projects
What you will build
Sample projects from this program. Your capstone can be adapted to your own domain.
Policy-document analyzer
Multimodal customer-support assistant
AI research workspace
Cohorts
Upcoming batches
Open
26 Aug 2026
Weekends, 2 live sessions per week (IST evenings)
Open
7 Oct 2026
Weekday evenings, 3 live sessions per week (IST)
Mentors
Who teaches this program
Sara Khan
Applied Research Engineer
AI product company
Demo mentor profile. Works on multimodal document understanding and evaluation harnesses for language models.
- Experience
- 7 years
- Programs
- 2
Teaches: Generative AI and LLM Engineering, Advanced Machine Learning and Deep Learning
View profilePreeti Kulkarni
Principal AI Engineer
Enterprise technology firm
Demo mentor profile. Builds retrieval and assistant systems for large enterprises and mentors engineers moving into applied generative AI.
- Experience
- 12 years
- Programs
- 1
Teaches: Generative AI and LLM Engineering
View profileLearner feedback
What past learners say
Demo content. Building a retrieval assistant end to end, with evaluation, changed how I approach AI features at work.
