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SDE Master Program with GenAI & Agentic AI

From DSA and System Design to MERN and GenAI integration. Everything you need to crack top SDE roles and build AI-powered applications.

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Duration

11 Months

Mode

Live Online

Certified by

IBM + Microsoft

SDE Master Program with GenAI & Agentic AI

Live Online

11 Months

Learnbay

94% placed

Placement Rate 94%

Alumni 15,000+

Karthik R. SDE-2 @ Amazon

"The DSA + System Design + GenAI combination is exactly what FAANG interviews test. Got Amazon in 8 months."

Pooja Nair Software Engineer @ Google

"Learnbay's mentors are actual engineers at top companies. Their interview tips are priceless."

What You'll Learn

Program Curriculum

Core SDE skills — DSA, system design, full-stack — combined with GenAI and Agentic AI, giving you the complete toolkit that top product companies and AI-first startups are hiring for.

Python: OOP, modules, decorators, generators

Data structures & complexity analysis

REST API design & integration with Python

LLM fundamentals: transformers, attention, tokenisation

Prompt Engineering patterns for software tasks

Git, GitHub & collaborative development workflows

LangChain: chains, memory, tools, agents

RAG architecture: embedding, retrieval, generation

Vector databases: Pinecone, ChromaDB

IBM Watsonx integration for enterprise GenAI

Fine-tuning LLMs: PEFT, LoRA, QLoRA

Building chatbots & document intelligence apps

Agentic AI design: ReAct, CoT, tool-use patterns

LangGraph: stateful multi-step agent systems

Multi-agent orchestration with AutoGen

LLM-powered software development assistant

Code generation, testing & review agents

LLMOps: versioning, deployment & monitoring

Arrays, linked lists, stacks, queues, trees, graphs

Sorting & searching algorithms

Dynamic programming & greedy algorithms

Backtracking & divide-and-conquer

Time & space complexity: Big-O analysis

LeetCode problem patterns for FAANG interviews

Scalability principles: horizontal & vertical scaling

Microservices architecture & API gateways

Caching strategies: Redis, CDN, in-memory

Message queues: Kafka, RabbitMQ

Designing AI inference services at scale

Case studies: Twitter, Netflix, Uber, WhatsApp

LLM-powered code review & refactoring tools

AI-assisted test generation & debugging agents

Backend engineering with GenAI integrations

Distributed systems & consensus algorithms

Multi-agent systems for enterprise automation

GenAI for product managers: feature ideation & specs

Tools & Technologies

What You'll Work With

Python LangChain LangGraph DSA System Design React Node.js MongoDB PostgreSQL AutoGen OpenAI API IBM Watsonx Pinecone ChromaDB Redis Kafka Docker Kubernetes FastAPI Git & GitHub

Ideal Candidates

Who Should Enrol

Software Engineers & Developers

Mid-level developers who want to crack FAANG and product companies while adding GenAI capability to their engineering profile.

Junior Developers

1–3 year developers who want to close DSA and system design gaps while simultaneously building GenAI integration skills.

CS Graduates

Recent computer science graduates seeking a structured path to SDE-2 and above roles at AI-first product companies.

Full-Stack Developers

MERN/backend developers who want to evolve into AI-integrated full-stack engineers building LLM-powered product features.

Credentials

Certifications You'll Earn

IBM

IBM Course Completion Certificate

Globally recognised IBM credential validating your GenAI and software engineering skills — a strong differentiator for SDE roles at product companies.

Microsoft

Microsoft Azure AI Certificate

Validates proficiency in deploying and managing AI workloads on Azure — highly valued at enterprise software companies and consulting firms.

AI Co-Lab

Startup GenAI Project Certificate

Employer-endorsed certificate from solving real startup engineering problems using GenAI — tangible proof of hands-on AI integration experience.

Learnbay

SDE Master Program Completion

Program completion certificate covering DSA, system design, full-stack, and GenAI — a comprehensive credential for senior engineering applications.

Career Services

Complete Placement Support

Resume Building

Engineering-focused, ATS-optimised resumes that highlight your DSA, system design, and GenAI skills for top SDE roles.

Mock Interviews

Comprehensive DSA coding rounds, system design interviews, and LLM engineering assessments simulating top-product company formats.

Interview Referrals

Direct interview calls at 350+ partner companies including Amazon, Microsoft, Meta, Flipkart, and fast-growing AI startups.

LinkedIn Optimisation

Profile review focused on SDE and AI engineer visibility — attracting the right recruiters at product companies and unicorn startups.

24/7 Doubt Support

Round-the-clock support for debugging, concept clarification, and project guidance from senior engineers.

1-on-1 Mentorship

Personalised career coaching from senior engineers at Microsoft, Amazon, and Flipkart throughout your job search.

Investment

Program Fee & Enrolment

₹1,59,000

+ 18% GST | EMI from ₹13,250/month

300+ hours of live instructor-led classes
3-year subscription with unlimited access
20+ guided real-world engineering projects
IBM & Microsoft certifications
DSA + System Design + GenAI tracks
Complete placement assistance
24/7 doubt resolution support

Enroll Now → Book Free Demo Class

No-cost EMI available on all major bank cards & NBFC partners

FAQ

Frequently Asked Questions

Software developers with 1+ years of industry experience are the primary audience. The program assumes basic programming knowledge but covers DSA and system design from structured fundamentals, so freshers with a CS background can also benefit.

Yes — the DSA term covers LeetCode problem patterns, competitive programming techniques, and time/space complexity analysis. The system design term covers case studies modelled on Amazon, Netflix, Uber, and Twitter design questions.

GenAI is embedded throughout — not bolted on at the end. You build LLM-powered features, RAG-based systems, and agentic coding assistants alongside core engineering concepts. Electives include LLM-Powered Software Engineering and Multi-Agent Systems.

Absolutely. The combination of strong DSA fundamentals, distributed systems knowledge, and hands-on GenAI projects positions you competitively for SDE-2 and above roles at product companies, AI-first startups, and unicorns.