GenAI Career
Accelerator
From Knowledge → Building → Interview ReadyDon't relearn what you already know. Identify your readiness gaps, build production-ready GenAI skills, create real projects, and prepare to explain and defend your technical decisions in interviews. Follow the shortest learning path aligned with your current readiness.
Designed for
Developers, AI/ML Engineers & Working Professionals
Whether you are moving into GenAI roles or strengthening your current AI skill set, the program helps you build practical systems, improve technical depth, and prepare for interviews with greater confidence.
Developers
Moving into GenAI-focused roles.
AI/ML Engineers
Building real-world GenAI applications.
Backend Engineers
Adding AI capabilities to backend systems.
Working Professionals
Upskilling for AI-focused opportunities.
Choose the Right Path Based on Your Current Readiness
We assess your current level across practical depth and interview articulation to recommend the shortest suitable path to close your specific gaps.
Foundation Path
4-5 months / 16-20 weeks
- Strengthen GenAI foundations
- Learn through real project building
- Develop production/deployment understanding
- Prepare for technical interviews
GenAI & FDE Accelerator
8 weeks
- Focused hands-on learning
- Build multiple interview-ready projects
- Deepen RAG, agents and production GenAI
- Combine building with career/interview preparation
AI Interview Accelerator
4 weeks
- Project storylining
- Technical interview defense
- Resume and LinkedIn positioning
- Mock interviews and targeted gap closure
From Foundations To Real-World GenAI Applications
Practical, interview-focused learning designed around hands-on building and the ability to explain technical choices.
ML & LLM Fundamentals
Transformers, tokenization and modern LLM concepts.
Prompt Engineering
Techniques, best practices and evaluation.
RAG Systems
Chunking, embeddings, retrieval, reranking and architecture.
AI Agents & Agentic AI
LangChain, LangGraph, MCP and multi-step workflows.
Production GenAI
Evaluation, observability, monitoring, security, guardrails and deployment.
Cloud & MLOps
AWS/Azure fundamentals, MLflow and model registry.
GenAI Application Development
Real-world use cases and end-to-end implementation.
System Design for GenAI
Architecture, scalability, latency, cost and reliability trade-offs.
Build Portfolio-Ready GenAI Projects
Work on industry-relevant projects that demonstrate practical skills and give you concrete systems to discuss in technical interviews.
Production LLM Application
Evaluation, monitoring and deployment.
Customer Support Chatbot
Context-aware conversational assistant.
Automated Content Generator
AI-driven content workflow.
RAG-based Application
Retrieval, embeddings, chunking, reranking and evaluation.
Agentic Workflow
Multi-step AI workflow using relevant orchestration tools.
Build the Skills. Learn to Defend Them.
The program also focuses on explaining projects, defending architecture decisions, communicating trade-offs, positioning experience, and performing under realistic interview pressure.
Project storylining
Structure every project so interviewers can follow it from start to finish.
Architecture and technical deep dives
Walk through your design choices and defend them under follow-up questions.
Latency vs cost vs accuracy trade-offs
Explain what you optimised for and what you gave up.
Debugging and scenario questions
Reason through failures and edge cases out loud.
Resume and LinkedIn positioning
Present your experience so recruiters see the right strengths.
Technical mocks and project-round simulations
Practice under realistic interview pressure and timing.
Actionable feedback and weak-area identification
Know exactly what to fix before the real round.
Get Ready for
High-Growth GenAI Roles
Build practical skills, project depth, technical communication and interview confidence for AI-focused opportunities across product and service-based companies.
GenAI Engineer
AI Application Developer
LLM Engineer
Backend + AI Engineer
ML Engineer (GenAI)
AI/ML Research Engineer
Have Questions?
We've Got Answers
Find answers to common questions about the GenAI Career Accelerator program.
A readiness-based program designed to close practical and interview-readiness gaps for AI and GenAI roles. Depending on current readiness, the path can focus on foundations, hands-on GenAI building, production concepts, career positioning, or interview preparation.
Developers, AI/ML engineers, backend engineers, and working professionals who want to move into GenAI roles, deepen practical GenAI skills, or prepare more effectively for AI-focused interviews.
Candidates are assessed across fundamentals, RAG/agent concepts, project experience, production understanding and interview communication so the most suitable path can be recommended.
Coverage can include LLM fundamentals, prompt engineering, RAG, embeddings/vector search, AI agents, LangChain, LangGraph, MCP, evaluation, observability, security, deployment, cloud fundamentals and GenAI system design, depending on the selected path.
Yes. Hands-on project work is part of the practical path, with emphasis on being able to explain architecture, decisions, challenges and production considerations.
Yes. Depending on the path, this can include project storylining, technical defense, architecture discussions, profile positioning, mock interviews, feedback and gap closure.
No. MockToHire does not guarantee a job. The program focuses on practical capability, project depth, career positioning and interview readiness.
One Fee. No Surprises.
Everything Included
From live classes to placement assistance, everything you need to become interview ready comes in a single fee, with flexible EMI options to fit your budget.
Monthly EMI options upto (24) Months
Flexible monthly EMI plans available for up to 24 months.
Modes of Payment ( UPI, Cards, Wallet, Net Banking)
Explore the various modes of payment available today: UPI for instant transfers, cards for secure transactions, wallets for convenience, and net banking for easy online management. Each option offers unique benefits to suit your needs.
Course Fees
Final pricing refers to the last and definitive cost of a product or service, including all applicable fees and discounts.
₹45,000
Includes:
- Live Interactive Classes
- Lifetime Recorded Sessions
- Study Material & PDFs
- Enterprise Assignments
- Production AI Projects
- 1:1 Mentorship Sessions
- Mock Interviews
- Resume Reviews
- Portfolio Building
- Industry Certification
- Placement Assistance