Build AI Agents
Switch to AI/ML/DS
Master ML, Deep Learning, and AI Agents with hands-on projects—plus FAANG+ interview prep to land your dream AI/ML job
Best Suited for:
Up to 10 Capstone Projects from those you would work on with guidance from instructors to those you would work on your own.
Built for the GenAI era — Agentic AI, modular, practical, and job-ready.
This program is not ideal for professionals with no current hands-on coding experience.
+ Instructors to Train You in Live Classes
Placed at:
Placed at:
Placed at:
Placed at:
Placed at:
Placed at:
Step 1: Register for our pre-enrolment webinar.
Step 2: Attend the webinar and understand everything about the program; ask all your questions to our experts during the session.
Step 3: Once you attend the webinar, you will be able to start the enrolment process with the help of our trusted Program Advisors.
Step 4: Our Program Advisors are equipped to help you understand the Advanced Machine Learning Program and how they can help you grow in your role.
Step 5: Get a 1:1 consultation with them to fast-track your enrollment!
What is Interview Kickstart’s Advanced Machine Learning Program?
It’s a 14-month, hands-on program that takes you from coding fundamentals to advanced Machine Learning, Deep Learning, Generative AI, and production-ready deployment — all taught by FAANG+ engineers.
Is the Advanced ML Program aligned with current market demands?
Yes. The curriculum is updated for in-demand skills like Agentic AI, RAG pipelines, multi-agent systems, scalable deployment, and MLOps — all of which are appearing in top AI/ML job descriptions today.
How does the program work?
You’ll attend live interactive classes, complete coding workshops, work on assignments and projects, and finish with a portfolio of real-world ML and GenAI applications. The final phase focuses on FAANG-style interview preparation.
Will this program help me move into better AI/ML roles?
Yes — it’s designed to give you both the technical skills and interview readiness needed for roles like ML Engineer, AI Engineer, Applied Scientist, and Data Scientist.
What kind of job roles can I target after completing it?
You’ll be prepared for roles in ML engineering, AI/ML application development, applied GenAI, and data science — typically at L3/L4 levels in top tech companies.
What are the prerequisites for this program?
You need active coding experience in any programming language. No prior ML experience is required.
How much of the program covers Classical Machine Learning?
You’ll spend multiple weeks on regression, classification, clustering, model evaluation, and ensemble methods before moving into deep learning and GenAI.
Is Generative AI & Agentic AI a major focus in the program?
Yes, it’s a major focus — you’ll learn LLMs, fine-tuning, RAG pipelines, multi-agent systems, and text-to-image models like Stable Diffusion, plus work on projects.
How do I enroll in the program?
Start by attending a pre-enrolment webinar. From there, you’ll get a 1:1 consultation with a program advisor who will guide you through the enrollment process.
Are the modules self-paced or live?
They’re live and interactive, but all sessions are recorded so you can revisit them anytime.
How much time should I dedicate each week?
Plan for about 4–5 hours of live classes and 6–7 hours of project work, assignments, and practice.
Will I have access to the learning material after the program ends?
Yes. After the program, you will get seamless live support during the support period and have life-long access to learning materials.
Time Zone:
Join 25,000+ tech professionals who’ve accelerated their careers with cutting-edge AI skills
25,000+ Professionals Trained
₹23 LPA Average Hike 60% Average Hike
600+ MAANG+ Instructors
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Learn about hiring processes, interview strategies. Find the best course for you.
Time Zone: Asia/Kolkata
Time Zone: Asia/Kolkata
Hands-on AI/ML learning + interview prep to help you win
Explore your personalized path to AI/ML/Gen AI success
