Generative AI & Agentic AI Engineering
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4.94(1,420+ reviews)
4,850+ Learners Enrolled
Avg. Salary Hike: 68%

Generative AI & Agentic AI Engineering

Build, Fine-Tune & Deploy Autonomous AI Agents, RAG Pipelines and LLMOps

Duration: 5–6 Months
Effort: 12–15 hrs/week
Level: Intermediate to Advanced
CEL™ • Skill Passport™ Certified
Vikramaditya SharmaDr. Ananya RayProf. Ankur Gill
Mentored by Staff Engineers
Vikramaditya Sharma (Google DeepMind) • Dr. Ananya Ray (Amazon AWS AI) • Prof. Ankur Gill (Techlearns)
INDUSTRY-STANDARD STACK

Tools & Frameworks Mastered

PY
Python 3.12
Language
LC
LangChain
Framework
LI
LlamaIndex
RAG
PC
Pinecone
Vector DB
CL
Claude 3.7 API
LLM
AI
OpenAI GPT-4o
LLM
PT
PyTorch
Deep Learning
DK
Docker
DevOps
FA
FastAPI
Backend
NX
Next.js 16
Frontend
CURRICULUM CORE

Find the AI Path for your role

Instructors, mentors, and leaders from industry who shape what you learn and how you grow.

Vikramaditya Sharma (Staff Lead)
TECHLEARNS
Structure • Vikramaditya Sharma (Staff Lead)
Structure about which path to explore and which to skip. It's organized from day one.
HOW IS THIS MODULE FUTURE PROOF

AI-assisted debugging and pattern recognition are taught from day one. Building habits that scale with any future AI tooling.

CORE

Programming Fundamentals & AI Literacy

No prior coding needed. Build syntax, logic, arrays, and debugging discipline before systems pressure begins. AI tools assist from day one for visualization, edge-case thinking, and code critique.

2 MONTHS27 SESSIONSINTERVIEW PREP
WHAT YOU'LL LEARN
01
Core problem solving
Operators, data types, if-else, loops, patterns, functions, and arrays.
02
Modular thinking & code structure
Functions, strings, 2D arrays, memory visualization with AI copilots.
03
AI-Assisted Engineering
Use AI for edge-case thinking, debugging, and iteration analysis from day one.
PORTFOLIO ARTIFACTS

Production-Grade Capstone Projects

Every project generates an auditable cryptographic commit hash on your Skill Passport.

01 / 03
PROJECT #182% Automated Resolution Rate

Autonomous Multi-Agent SRE Triage Engine

End-to-end autonomous agent system that monitors logs, diagnoses root causes, and files PR bug fixes.

Built using LangGraph, Python, and Claude 3.7. The agent detects anomalies in Datadog logs, inspects codebase ASTs, and writes unit tests for automated fixes.

TECH STACK:
LangGraphPython 3.12FastAPIPineconeDocker
Skill Passport Audit: sha256:9f8a2b3c...e4d1
Autonomous Multi-Agent SRE Triage Engine
Verified Capstone Architecture
ALUMNI PROOF & OUTCOMES

From Classroom to Tier-1 Product Engineering

Real engineers who replaced theoretical tutorials with production sprint reviews and accelerated their careers.

Shubham Kulkarni

Shubham Kulkarni

Senior AI Solutions Engineer
Google
+115% Salary Hike2.4x Offer Package
Cracked Google L4 in 4 Months

The CEL agile sprints completely transformed how I interview and write software. During my Google loop, the hiring panel spent 25 minutes inspecting my live GraphRAG repository pull requests rather than asking generic DSA riddles.

CAREER TRAJECTORY
Junior Backend Developer Senior AI Solutions Engineer
VERIFIED CAPSTONE ARTIFACT
Multi-Tenant Financial GraphRAG Engine
EXPERT FACULTY & STAFF ARCHITECTS

Learn 1-on-1 From Top Tier-1 Tech Leads

No junior teaching assistants. Receive direct line-by-line PR reviews and system design guidance from active practitioners.

Vikramaditya Sharma

Vikramaditya Sharma

Staff AI ArchitectGoogle DeepMind
12+ Years Exp

Specializes in multi-agent autonomous systems, distributed inference, and LLM evaluation architectures.

Conducts 1:1 PR Reviews & Mock Loops
Dr. Ananya Ray

Dr. Ananya Ray

Principal ML EngineerAmazon AWS AI
10+ Years Exp

Author of 8 publications on parameter-efficient fine-tuning and enterprise RAG systems.

Conducts 1:1 PR Reviews & Mock Loops
Prof. Ankur Gill

Prof. Ankur Gill

Founder & Lead ArchitectTechlearns
15+ Years Exp

Pioneer in Corporate Experience Learning (CEL™) and applied engineering frameworks.

Conducts 1:1 PR Reviews & Mock Loops
TANGIBLE CAREER ROI

Target Roles & Hiring Network

Graduates are actively hired across high-growth product startups and global tech giants.

₹18.5 LPA
Average Package
₹42.0 LPA
Highest Package Offered
68%
Average Salary Hike
TARGET JOB PROFILES:
💼 Generative AI Engineer💼 AI Solutions Architect💼 LLMOps Engineer💼 Applied ML Scientist
PROMINENT HIRING PARTNERS:
800+ Partners
GoogleGoogle
MicrosoftMicrosoft
AmazonAmazon
FlipkartFlipkart
RazorpayRazorpay
SwiggySwiggy
ZomatoZomato
FREQUENTLY ASKED QUESTIONS

Everything You Need to Know

Basic proficiency in Python and familiarity with core software engineering concepts (data structures, REST APIs, Git) is recommended. Prior deep learning experience is not mandatory as we cover fundamental math and neural network basics in Sprint 1.
Generative AI & Agentic AI Engineering
Starts September 15, 2026
LIMITED SEATS
TOTAL ALL-INCLUSIVE INVESTMENT
₹64,999Scholarships Available
Or pay ₹5,416/mo (12 Months No-Cost EMI)
Apply for Next Cohort
100% Risk-Free: 7-Day Money-Back Guarantee from batch kickoff.
WHAT'S INCLUDED IN THIS PROGRAM:
100% Live Agile Sprint Simulation
1-on-1 Staff Architect PR Code Reviews
4+ Production-Grade Repositories
Cryptographic Skill Passport™ Profile
Direct Matching with 800+ Hiring Partners
Permanent Lifetime Access to SkillOS
Generates auditable Verified Capability Profile with direct repository commit links.
Starts September 15, 2026
₹64,999 (₹5,416/mo (12 Months No-Cost EMI))
Apply Now
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