Talent500 & Interview Kickstart| Transformative GenAI & Agentic AI + Interview Lab For Backend Engineers
Fee
1.5 to 2.8 lakhs
Experience
5 - 30 Years
Duration
33-week
Delivery Method
Online
Program Overview:
Transformative GenAI + Interview Preparation for Backend Engineers
This 33-week integrated program is designed for backend software engineers who want to build production-grade agentic AI systems and position themselves for senior backend and AI engineering roles at MAANG+ companies. It combines hands-on agentic AI development - built through 8 live guided projects - with structured interview preparation covering DSA, system design, and backend domain rounds.
A Unique Dual-Track Design
What you build is what you interview with. Live guided projects become system design case studies. Trade-off decisions become leadership discussion points. Capstone architecture maps directly to MAANG backend design rounds.
Key Highlights:
- 9 Live Guided Projects
- End-to-End Curriculum
- Enterprise Capstone
- Interview Ready by Design
- Expert Led Instruction
- 20 Mock Interviews
- Portfolio & Practise Integration
Desired Candidate Profile
Who This Program Is For
- Backend Engineers Moving Into AI Roles: Engineers who want to design and integrate agentic AI systems into real applications - moving beyond basic API usage to production-grade AI workflows and system design.
- Backend Engineers Expanding Their Scope: Developers who want to build AI-powered and agentic systems, gaining both hands-on experience and interview-ready design skills.
- Engineers Targeting MAANG+ Backend Roles: Professionals who want structured, rigorous preparation covering DSA, system design, backend domain depth, and agentic AI design rounds.
- Engineers Rebuilding AI Literacy: Backend practitioners who have used AI APIs casually and want to understand how to design, evaluate, and operate these systems properly at scale.
Course Modules
Program Structure:
- Weeks 0-11:9 live guided projects: reflex agents - RAG - multi-agent orchestration - enterprise capstone
- Self-paced: 5 supplementary modules: AI dev, prompting, multi-agent, LLM frameworks, deployment
- Weeks 12-15: Case-based design reasoning: patterns, orchestration, memory, retrieval, evals, guardrails, ops
- Weeks 16-25: Sorting, recursion, trees, graphs, DP - structured for MAANG coding rounds
- Weeks 26-31: Online, batch, stream processing - APIs, databases, cloud-native patterns
- Weeks 32-39: Database design, object modeling, API design, cloud-native architecture, concurrency
- Weeks 40-42: Interview strategy, positioning, professional branding
- Week 43+: 6 months Support Period: 15 ( Domain Interview Prep) + 5 (Agentic Interview Prep) mock interviews
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