Prompt Engineering& LLM Systems Program
The fastest path to becoming an AI professional. Master prompt design, RAG systems, and LLM product development in 8 focused weeks — with a dedicated 1:1 mentor.
From Any Background to AI Professional
Marketing Professionals
Learn to build AI-powered content systems and campaign automation that deliver 10× output.
Product Managers
Understand what's possible with LLMs so you can make better product decisions and own AI features.
Content Creators
Build prompt systems that supercharge your creative workflow without losing your voice.
Developers
Add LLM capabilities to your applications and go beyond copy-pasting ChatGPT prompts.
Fresh Graduates
The fastest way to build a differentiated AI skill set before entering a competitive job market.
Freelancers
Package AI consulting services that clients will pay premium rates for, anywhere in the world.
8 Weeks. 6 Modules. Real Deployments.
Foundations of LLMs & Prompt Science
- →How LLMs actually work (transformers demystified)
- →Tokens, context windows & temperature
- →GPT-4, Claude, Gemini API setup
- →Baseline vs. advanced prompting
Advanced Prompting Patterns
- →Chain-of-thought & self-consistency
- →Few-shot vs zero-shot strategies
- →Prompt chaining & decomposition
- →Role prompting & meta-prompting
RAG & Knowledge Systems
- →Vector databases (Pinecone, Chroma, Weaviate)
- →Embedding models & semantic search
- →LangChain & LlamaIndex in production
- →Building document Q&A systems
LLM Fine-Tuning & Customization
- →When to fine-tune vs. prompt
- →LoRA & QLoRA techniques
- →Dataset preparation & annotation
- →Open-source models (Mistral, Llama 3)
AI Product Development
- →Building LLM-powered SaaS products
- →Guardrails, safety & hallucination mitigation
- →Cost optimization strategies
- →Streaming responses & UX patterns
Deployment, Evaluation & Career Sprint
- →LLM evaluation frameworks (RAGAS, TruLens)
- →Deploying with FastAPI & Vercel
- →Portfolio project completion
- →Interview prep & demo day
LLM Experts Who Ship Real Products
Rohan Seth
Former NLP Lead, HuggingFace
8 Years Experience
Built and shipped 20+ LLM products. Was part of the HuggingFace open-source team. Consults for AI startups in the EU and US.
Meera Agarwal
AI Product Lead, Freshworks
6 Years Experience
Led AI feature development for 50K+ enterprise customers at Freshworks. Expert in building reliable, production-safe LLM systems.
The 1:1 Mentorship Process
Weekly 1:1 Video Sessions
2 sessions per week with your dedicated mentor. Real-time code review, concept clarification, and project guidance.
Async Feedback Loop
Submit assignments and get written feedback within 24 hours. Your mentor's annotations are stored in your learning journal.
Personalised Curriculum
After your orientation call, your mentor creates a learning path specific to your background, goals, and time availability.
WhatsApp Support (Business Hours)
Text your mentor during business hours for quick questions. Most responses come within 2 hours.
Common Questions
Do I need a technical background?
No. This course is designed for professionals from all backgrounds. You'll learn everything you need — Python basics, API usage, and product thinking — through personalized 1:1 sessions.
How is this different from ChatGPT courses on YouTube?
YouTube courses give you surface-level prompting tips. This program takes you to the engineering level — building RAG systems, fine-tuning models, and deploying AI products that companies actually pay for.
What job titles does this prepare me for?
Prompt Engineer, AI Product Manager, LLM Engineer, AI Consultant, Conversational AI Developer, and AI Solutions Architect are the most common titles our graduates pursue.
How quickly can I land a job after this course?
71% of our Prompt Engineering graduates land a relevant role within 4 months of completion. The fastest placement we have had was 3 weeks.
The AI Wave Won't Wait
Prompt Engineering roles are growing 300% YoY. Apply today to secure your spot.
Apply for Prompt Engineering ProgramOnly 8 seats per mentor per month.