Flagship Machine Learning Program with Agentic AI — Taught by FAANG+ Experts

Master ML, GenAI, and Agentic AI through hands-on projects, live mentorship, and a curriculum built for today’s AI job market

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Tools you’ll learn

Detailed Curriculum

Foundations

Core Machine Learning

Deep Learning

Applied Generative AI & Agentic AI

LLM Ops, MLOps & AI System Design

Capstone Project

Interview Preparation

Support Period

The curriculum is constantly being updated as per industry developments and is subject to change.

Add-on Specializations

You can add any of the below-advanced learning modules to your course to dive deeper into ML/Data Science and increase your chances of landing a lucrative job role.

Advanced Natural Language Processing

Advanced Computer Vision

Data Visualization & Storytelling

Big Data with Apache Spark

Capstone Projects

Up to 10 Capstone Projects from those you would work on with guidance from instructors to those you would work on your own.

StyleLens (Guided or Self-led)

  • DL-based fashion image retrieval system that lets users upload pictures and get recommendations.
  • Industry use cases: e-Commerce & Retail in Fashion, Beauty, Interior Design, Furniture, Appliances, Kitchenware, and more.

Binsense AI (Guided or Self-led)

  • Computer Vision-based item and quantity validation system for efficient and effective inventory management.
  • Industry use cases: Warehousing & Logistics, Retail, Manufacturing, E-Commerce Fulfillment Centers, Grocery & Supermarkets, Pharma Inventory, Automotive Parts Storage and more

Trendsetter AI (Guided)

  • A recommender system for Social Media influencer that leverages LLMs & Graph ML.
  • Industry use cases: Influencer Marketing Platforms, Digital Advertising, E-Commerce & D2C Brands, Media & Entertainment, Fashion & Lifestyle, Talent Management Agencies and more

SmartShop AI Assistant (Guided)

  • Personalized e-commerce experience offering product recommendations, comparisons and real-time assistance.
  • Industry use cases: E-Commerce & Online Retail, Fashion & Apparel, Consumer Electronics, Home & Kitchen, Beauty & Personal Care, Travel & Booking Platforms, Marketplace Platforms and more

Blue Horizon AI Concierge (Guided)

  • A seamless, AI-driven customer service bot that offers personalized hospitality services.
  • Industry use cases: Hotels & Resorts, Airlines & Airports, Cruise Lines, Luxury Travel, Vacation Rentals, Event Management, Corporate Hospitality and more

HealthSense AI (Guided)

  • A comprehensive healthcare companion enhancing patient care and hospital operations.
  • Industry use cases: Hospitals & Clinics, Telemedicine Platforms, Elderly & Home Care Services, Health Insurance Providers, Diagnostic Centers, Mental Health Support, Medical Device Companies and more

CyberShield AI (Guided)

  • A cybersecurity conversational agent to perform PII masking & advanced PII protection with multi-modal capabilities.
  • Industry use cases: Cybersecurity Operations, Financial Services, Healthcare & Pharma, Legal & Compliance, Government & Defense, Enterprise IT, Cloud Security Platforms and more.

Medi-Bot (Self-led)

  • An AI-based chatbot that allows users to describe symptoms in natural language and get probable disease predictions using agents. 
  • Industry use cases: Hospitals & Healthcare Networks, Health Insurance Providers, Post-Acute Care Facilities, Remote Patient Monitoring, Chronic Disease Management Programs, Telehealth Platforms, Public Health Agencies and more.

Fraud Shield (Self-led)

  • A comprehensive fraud detection system capable of identifying fraudulent transactions with high accuracy and scalability. 
  • Industry use cases: Banking & Financial Services, E-commerce Marketplaces, Payment Gateways, Insurance Providers, Telecommunications, Government Tax & Revenue Agencies.

Browser Analytics (Self-led)

  • ML system to decode the dynamics of mobile engagement analyzing the mobile internet browsing data to drive data-informed business decisions. 
  • Industry use cases: Digital Marketing Agencies, Telecom Operators, E-commerce Platforms, Media & Entertainment, Online Advertising Networks, Mobile App Developers, Consumer Insights Firms.

Capstone Projects are subject to change as per industry inputs.

Why Choose Interview Kickstart's Flagship Machine Learning Program

Built for the GenAI era — Agentic AI, modular, practical, and job-ready.

Market-Aligned Curriculum:

Learn the most relevant and impactful meticulously researched market-aligned ML and Agentic AI skills.

Hands-On Assignments:

Practice-heavy structure with 30+ live coding notebooks, 30+ post class assignments, and hands-on experimentation in real ML tasks.

Capstone Projects:

Unique project where you’ll build a production-ready ML/GenAI/Agentic AI application aligned to business use cases.

Exceptional Value:

Two comprehensive boot camps—core ML and interview prep for your choice of AI roles—all included in one program.

Elite Instruction:

Opportunity to learn from top-tier instructors and mentors from FAANG+, bringing cutting-edge industry insight and expertise.

Built for What Recruiters Want:

Dedicated modules on building agents, multi-agent orchestration, RAG pipelines, and deployment.

Interactive Co-pilot Sessions:

Weekly FAANG+ engineer-led sessions offer live coding, doubt resolution, and custom guidance.

Blended Learning Format:

Weekly self-paced and recorded content is seamlessly paired with live, instructor-led classes and project sessions.

Who Is Eligible for This Course?

Junior-to-senior software professionals looking to switch careers to AI/ML

Junior-to-senior Tech Managers without experience in coding but looking to learn ML

Junior-to-mid level Semi/Tech Professionals

Junior professionals from non-STEM/non-coding backgrounds with a high interest in learning ML

falag + Instructors to Train You in Live Classes

Learn from over 30 instructors including:

The IK Experience: What Our Alumni Are Saying

Our engineers land high-paying and rewarding offers from the biggest tech companies, including Facebook, Google, Microsoft, Apple, Amazon, Tesla, and Netflix.

How to Enroll for Interview Kickstart’s Flagship Machine Learning Course

Step 1: Register for our pre-enrolment webinar.

Step 2: Attend the webinar and understand everything about the course; 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 Flagship Machine Learning Course and how it can help you grow in your role.

Step 5: Get a 1:1 consultation with them to fast-track your enrollment!

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FAQ

It’s a market-aligned, job-ready course covering foundational ML, deep learning, Generative AI, and Agentic AI. Designed by FAANG+ engineers, it blends live classes, self-paced learning, workshops, mentorship, and career coaching. The curriculum includes building AI agents, multi-agent systems, and RAG pipelines alongside real-world projects and interview prep.

This program is ideal for software engineers, data scientists, tech managers, DevOps/SREs, cloud engineers, and STEM professionals seeking to transition into AI/ML roles. It also suits motivated STEM professionals from non-coding backgrounds ready to gain technical skills. No prior ML or AI experience is required, but basic programming proficiency is recommended. It is not suitable for non-technical professionals with over 7 years of experience outside tech.

The program spans approximately 9 months (7 months of core ML/AI training followed by 2 months of interview preparation.) It’s delivered in a blended format with weekend live classes, self-paced modules, pre-class and post-class content, CoPilot coding sessions, and live workshops for hands-on project work.

Agentic AI refers to AI agents capable of reasoning, planning, and executing complex tasks. With its increasing presence in ML job descriptions, the program dedicates modules to building, orchestrating, deploying, and optimizing agents using frameworks like LangChain, CrewAI, and LangGraph, alongside RAG pipelines and multi-agent systems.

You’ll work on guided and self-led projects across industries such as e-commerce, healthcare, cybersecurity, fintech, and social media analytics. Examples include Fraud Shield, Medi-Bot, Browser Analytics, StyleLens, Binsense AI, Trendsetter AI, SmartShop AI Assistant, Blue Horizon AI Concierge, HealthSense AI, and CyberShield AI.

Yes. All capstone projects and case studies are designed to reflect real business scenarios and production-level quality. You’ll develop applications like multi-agent chatbots, audio bots, and fraud detection systems, with mentorship from FAANG+ experts.

You’ll work with Python, Jupyter Notebooks, Pandas, NumPy, Matplotlib, PyTorch, Scikit-learn, Hugging Face, LangChain, LangGraph, CrewAI, Claude, OpenAI APIs, AWS SageMaker, Docker, Kubernetes, plus MLOps and LLMOps practices for deployment and scaling.

Yes. After the ML bootcamp, you’ll complete an interview prep bootcamp in your chosen track (MLE, DS, or DABA), including mock interviews, resume & LinkedIn optimization, job application strategy, behavioral interview coaching, and salary negotiation guidance.

Graduates often move into roles such as Machine Learning Engineer, AI Engineer, Data Scientist, or Applied Scientist, with a strong focus on projects involving Agentic AI. Career support continues after graduation through alumni resources and networking opportunities.

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Hands-on AI/ML learning + interview prep to help you win

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Your preferred slot for consultation * Required
Get your Resume reviewed * Max size: 4MB
Only the top 2% make it—get your resume FAANG-ready!
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🗓️ Friday, 18th April, 6 PM
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Mornings, 8-10 AM
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