Master AI, Cloud & DevOps
Learn the most in-demand technologies with hands-on training, real projects,
and step-by-step guidance from expert trainers who simplify complex topics.
4.5/5 (10,275 ratings)
- Build real AI apps
- Automate workflows
- Deploy cloud systems
- And Many More
- Build real AI apps
- Automate workflows
- Deploy cloud systems
- And Many More
Standout features of
the Program
100% practical training
Learn by doing — every module focuses on real implementation.
Real-world projects
Work on actual industry-style projects so you build a portfolio.
Step-by-step guidance
We break down every topic into simple, guided steps which helps beginners.
Hands-on deployments.
You’ll build and deploy real systems — automation pipelines, LLM apps, etc.
Industry Expert Trainer
Your instructors have already helped thousands learn AI, Cloud, and DevOps.
Clear explanations
Everything is taught in plain language, focusing only on what matters.
Need to know more?
Get to know the course in-depth by downloading the course brochure
The Program Is For:
- You are a working Data Scientist / ML / Backend Engineer
- You want to build GenAI systems end-to-end
- You’re tired of surface-level LLM tutorials
- You care about cost, latency, reliability
- A collage student having the knowledge of ML, DL, Python
Not for absolute beginners or casual learners
The Outcome Of the Program:
- Design RAG, GraphRAG, and Agent systems for real business use cases
- Run and optimize local & hosted LLMs
- Build async GenAI backends with FastAPI
- Evaluate, monitor, and optimize GenAI pipelines
- Confidently explain architectural choices in interviews or reviews
Batch Details:
- Batch size: 15 students (Founding Batch)
- Schedule: 7:00–8:30 AM IST (Live)
- Recordings available
- Weekly hands-on labs
Need to know more?
Get to know the course in-depth by downloading the course brochure
Experience A Top-Tier Curriculum
Phase 0 — Local LLMs & Backend Foundations
Build the runtime & mindset
LLM fundamentals: tokens, context windows, latency, cost
Running local LLMs with Ollama & vLLM
Async Python & FastAPI for GenAI backends
Prompt engineering for deterministic outputs
Structured I/O with Pydantic
API design for LLM-powered systems
Phase 1 — Deep RAG & GraphRAG Systems
Make LLMs actually useful
Embeddings & vector search fundamentals
Chunking strategies (semantic, recursive, hybrid)
RAG pipelines with Qdrant
Metadata-aware retrieval & filtering
GraphRAG concepts with Neo4j
Retrieval evaluation & relevance scoring
Phase 2 — Agentic Workflows & Optimization
Move beyond single prompts
Agent fundamentals & orchestration patterns
LangGraph for stateful agent workflows
Multi-agent collaboration & tool use
Cost & latency optimization techniques
Semantic caching with Redis
Failure handling, retries & guardrails
Phase 3 — Capstone & Production Deployment
Ship like an engineer
End-to-end GenAI system design
Architecture trade-offs: RAG vs GraphRAG vs Agents
Model routing (local vs hosted)
Monitoring, logging & evaluation pipelines
Dockerization & deployment strategies
Capstone review & production-readiness checklist
Throughout the Program
Every phase includes live builds, real-time architecture discussions, and hands-on labs—no pre-recorded content.
What You’ll Get in This Course
Assignments, notes & templates
Live Regular doubt solving
Advanced Project mentorship
Certificate of Completion
Resume & portfolio guidance
Lifetime community support
Need to know more?
Get to know the course in-depth by downloading the course brochure
Learn from the best in Industry and Academia
Roshan Salunke
Generative AI & Data Science
A Generative AI & Data Engineering trainer with 2+ years of experience. Roshan has built real LLM apps, RAG systems, vector databases, predictive models, and automation pipelines.
Aarya
Cloud & DevOps
Cloud & DevOps trainer with 2+ years of experience helping teams build scalable, automated, and cost-efficient infrastructure.
Got Questions? We’ve Got Answers.
1. Do I need technical experience?
2. Will I get assignments & projects?
3. Will you help with deployments?
4. Do I get a certificate?
5. Is doubt-solving available?
Get the Full Course Brochure
Access the full curriculum and project breakdown to see exactly what you’ll learn.