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Talent500 & Interview Kickstart | Transformative GenAI & Agentic AI + Interview Lab For Full stack Engineers Prepare for MAANG+ Full stack Engineering interviews.

Talent500 & Interview Kickstart.5 - 30 yrs.Anywhere

Fee

1.5 to 2.8 lakhs

Duration

42 Weeks

Experience

5 - 30 yrs

Delivery Method

Online

Design, build, and ship production-grade agentic AI.Prepare for MAANG+ Fullstack Engineering interviews.

Course Detail

Program Overview:
Applied Agentic AI + Interview Preparation for Full Stack Engineers

This integrated program is designed for full stack engineers who want to build and operate AI-powered applications while preparing for competitive Full Stack Engineering roles at FAANG+ companies. It combines hands-on mastery of agentic AI systems - built through live guided projects using modern frameworks and tools - with structured interview preparation covering backend architecture, API design, cloud infrastructure, JavaScript development, UI system design, and data structures and algorithms.
A Unique Dual-Track Design

What you build is what you interview with. Live guided projects become system design case studies, and architecture trade-offs become discussion points that demonstrate engineering judgment. The enterprise capstone showcases how to design, evaluate, and operate production-grade agentic AI systems while clearly articulating the technical reasoning expected in FAANG-level engineering interviews.

Key Highlights:

  • Applied Agentic AI
  • End to End Curriculum
  • Project Driven Weekly
  • Engineering Focus
  • Full Stack Interview Prep
  • Expert Practitioners
  • Capstone with Feedback
  • Future Proof your Career
  • Portfolio & Practice integration

Desired Candidate Profile

  • Full Stack Engineers
  • AI Enthusiasts with Software Engineering Backgrounds

Course Modules

Program Structure

  • Weeks 0 (Self paced): Agentic AI foundations - build your first agent-style application end-to-end
  • Weeks 1-9: 9 live guided projects progressing from reflex agents to enterprise multi-agent systems
  • Weeks 10-11: Learner-led enterprise multi-agent system with scheduled instructor support sessions
  • Weeks 12-15: Design patterns, orchestration, memory, data, evals, guardrails, production operations
  • Weeks 16-25: Sorting, recursion, trees, graphs, dynamic programming - aligned to FAANG coding rounds
  • Weeks 26-31: Online, batch, and stream processing systems for FAANG system design rounds
  • Weeks 32-39: Databases, API design, cloud infrastructure, JavaScript & web development, UI system design
  • Week 40-42: Resume & LinkedIn optimization, behavioral interviews, and offer negotiation coaching
  • Week 42 onwards: 6-month support period - 15 ( Domain Interview Prep) + 5 (Agentic Interview Prep) mock interviews