Generative AI Course in DLF Phase 5
For engineers and builders in DLF Phase 5, this course goes past prompting into the engineering behind production GenAI.
- Live cohorts, not recordings
- Practitioner-taught
- Community & placement
- Lifetime access
Enrol or get details
Tell me about your goals — I'll reply within 24 hrs.
Built for DLF Phase 5 builders
Every module ends with something working — a RAG pipeline, an agent, an eval suite — built live alongside peers from DLF Phase 5 and beyond. This goes past prompting into the actual engineering behind production GenAI.
Curriculum breakdown
Module 1: Prompt engineering and structured chains
DLF Phase 5 students learn structured prompt design and function calling, not just one-off prompt tricks.
Topics covered
- Prompt architecture and function calling
- Structured output validation
- Multi-step prompt chains
Module 2: RAG pipelines with vector databases
Building a working retrieval-augmented generation pipeline, end to end, as a DLF Phase 5 student.
Topics covered
- Chunking and ingestion strategy
- Vector database selection and indexing
- Retrieval quality evaluation
Module 3: Agents and tool use
Building an agent that uses tools reliably, for DLF Phase 5 students moving beyond single-turn prompting.
Module 4: Evals, guardrails and deployment
Shipping what you've built with monitoring and safety guardrails in place.
How the cohort runs
Format and schedule
Live, project-based cohort
Fully online, live over Zoom, for DLF Phase 5 learners and peers across every module.
Who this course is for
Engineers and builders
DLF Phase 5 engineers who want the architecture behind production GenAI, not just API basics.
Technical founders
DLF Phase 5 founders building an LLM-powered product who need to move past a fragile prototype.
Outcomes and support
Portfolio project
DLF Phase 5 students leave with a working RAG or agent project they can show employers.
Prerequisites
Basic Python recommended
The course focuses on architecture decisions for DLF Phase 5 students, not syntax fundamentals.
Note
Covers OpenAI, Anthropic (Claude), and open-source models, so DLF Phase 5 students aren't locked into one provider's mental model.
Why DLF Phase 5 builders choose Deepak Suhag
Taught by someone who ships production GenAI systems for clients — not a course built from documentation alone.
How it works
Simple, transparent process — from first contact to measurable results.
Enrol & Onboard
Instant portal access, cohort Slack invite, and full session calendar on day one.
Live Sessions
Weekly Zoom sessions with real campaign walkthroughs, live dashboard reviews, and Q&A.
Build & Get Feedback
Hands-on assignments on your own campaigns with direct 1:1 feedback from Deepak.
Graduate & Network
Industry certificate, alumni community, job board access, and ongoing placement support.
Tools & platforms
The exact stack I use daily across growth marketing, web development, AI, and automation — no guesswork, no vendor lock-in.
Why work with Deepak
Here's what makes this different from every other option in DLF Phase 5.
Taught by a practitioner
Every module comes from live campaigns with real budgets — not textbook theory or outdated slides.
Live cohorts, not recordings
Ask questions in real time, get live feedback on your campaigns, and learn with a cohort of peers.
Practitioner-led curriculum
Real ad accounts, real case studies, real budgets — everything relevant to where you work, wherever that is.
Career-ready outcomes
Portfolio projects, alumni Slack, and direct referrals to companies actively hiring in your city.
Everything you need to know
Still have a question that isn't answered here? Reach out directly — I respond to every inquiry personally.
Ask a question01Do I need Python experience in DLF Phase 5?
Basic Python is recommended — the course focuses on architecture, not syntax.
02Which LLM providers do you cover?
OpenAI, Anthropic (Claude), and open-source models.
03Is this available for DLF Phase 5 learners remotely?
Yes — the cohort runs fully online, live over Zoom.
04Do I get a project I can show employers in DLF Phase 5?
Yes — a working RAG or agent project is part of the curriculum.
I started teaching because I was frustrated seeing marketers memorise theory they'd never use. Every lesson I teach comes from a live campaign, a real mistake, or a real win. You'll leave with skills you can use tomorrow morning.