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Make the GenAI Shift—Before It Leaves You Behind

Go beyond buzzwords with real hands-on experience in LLMs, vector DBs, orchestration frameworks, and prompt engineering.
Best Suited for:
4.8
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Course Highlights

Best Suited for

Tech professionals across DevOps, SRE, Cloud, Security, and Data roles who are looking to future-proof their careers by integrating AI into workflows.

Ideal for experienced ICs and tech specialists aiming to lead automation and intelligence initiatives in their domains.

Duration

12 weeks

Course hours

30+ hours of live interaction with industry experts from top tech companies

15+ hours of expert-guided live hands-on projects

Projects

4 Live Guided Projects

Curriculum coverage

How to design, build, and deploy autonomous AI agents using low-code tools like LangGraph, CrewAI, Zapier, and Bubble—focusing on prompt engineering, multi-agent systems, function calling, API integration, and real-world workflow automation.

Instructors

Generative & Agentic AI practitioners from FAANG and other global Tier 1 companies

Get your copy of the course brochure

Turbocharge Your Career with Gen AI

  • Full details of the curriculum
  • Hands-on Guided Projects and Capstone Projects
  • Career Support Services

Get your copy of the course brochure

Turbocharge Your Career with Gen AI

  • Full details of the curriculum
  • Hands-on Guided Projects and Capstone Projects
  • Career Support Services
Careers transformed
0 K+
Average package for alumni
LPA
Average ROI on course price
0 x

30+ Tools & Tech You’ll Learn

Why Choose Interview Kickstart’s Transformative GenAI Program

Learn From 600+ Mentors From FAANG+ and Tier-1 Companies

Gain practical skills and insights from engineers, product leaders, and AI experts building next-gen systems at global tech firms.

Customizable by Domain and Role

Whether you're in software, data, product, infra, or QA—apply Agentic AI to your own work context with track-specific projects and tools.

Built for Busy Professionals

The course structure balances live sessions and self-paced content—ideal for those managing full-time roles and personal commitments.

Project-Based Learning That Reflects Industry Needs

Build systems for DevOps automation, intelligent assistants, fraud detection, and more—across two guided builds and a role-relevant capstone.

Master Agentic AI From the Ground Up

From foundational LLM concepts to real-world multi-agent orchestration and deployment, you’ll cover the full lifecycle of GenAI systems.

Proven Track Record With Learners

With an NPS of 55, 4.75+ average rating, and 25K+ careers transformed, this program is trusted by tech professionals across 18+ roles.

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Detailed Curriculum of Our Transformative GenAI for Tech Professionals Program

Transformative Generative AI for Tech Professionals
Fundamentals of Agentic AI
Build Your First AI Agent
Building Applications with LLMs & Agents - Lite
Build Your Advanced Agent
Evaluation & Optimizing AI Agents: Performance & Cost Efficiency
Python Fundamentals Crash Course
Python For GenAI
LLM Architecture & Pre-training (Deep Dive into LLMs + Training LLMs) - Lite
Live Guided Projects

Detailed Curriculum of Our Transformative GenAI for Tech Professionals Program

Transformative Generative AI for Tech Professionals
Fundamentals of Agentic AI
Build Your First AI Agent
Building Applications with LLMs & Agents - Lite
Build Your Advanced Agent
Evaluation & Optimizing AI Agents: Performance & Cost Efficiency
Python Fundamentals Crash Course
Python For GenAI
LLM Architecture & Pre-training (Deep Dive into LLMs + Training LLMs) - Lite
Live Guided Projects

Live Guided Projects

Automated Data Insights Generator

Simplify data analysis by allowing users to generate insights from datasets using natural language inputs, eliminating the need for complex queries or coding. The system will integrate a robust data pipeline to load CSV files into a SQL database using the LangChain toolkit to connect with the database. The project utilizes SQL, Python, LangChain, and Streamlit, with future plans to expand to other databases and BI tools.

Smart Retail Bot with Agent Collaboration

Build a multi-agent AI assistant for retail support. The bot should classify user queries (e.g., product info, order tracking), retrieve data from Google Sheets, and respond using OpenAI. Use modular workflows for routing, classification, and response generation. This project teaches real-world automation and task orchestration in an e-commerce context.

Lead Qualification & Outreach Engine

Create an AI-powered system that automatically qualifies inbound leads from a form or CRM, enriches the data (e.g., company size, role), and sends personalized follow-ups. This project is ideal for sales and marketing teams, showing how to streamline the top of the funnel without code.

Automated Interview Scheduler & Resume Screener

Build an AI-powered hiring assistant that automates early-stage recruitment. The system screens incoming resumes using OpenAI to extract key details (skills, experience, relevance), matches candidates to job roles, and sends personalized interview invites via Gmail with embedded Calendly scheduling links. The entire candidate journey is logged in a Notion board for easy tracking. This project helps streamline talent operations for busy HR or hiring teams using low-code tools.

Projects are subject to change as per industry inputs.

Live Guided Projects

Automated Data Insights Generator

Simplify data analysis by allowing users to generate insights from datasets using natural language inputs, eliminating the need for complex queries or coding. The system will integrate a robust data pipeline to load CSV files into a SQL database using the LangChain toolkit to connect with the database. The project utilizes SQL, Python, LangChain, and Streamlit, with future plans to expand to other databases and BI tools.

Smart Retail Bot with Agent Collaboration

Build a multi-agent AI assistant for retail support. The bot should classify user queries (e.g., product info, order tracking), retrieve data from Google Sheets, and respond using OpenAI. Use modular workflows for routing, classification, and response generation. This project teaches real-world automation and task orchestration in an e-commerce context.

Lead Qualification & Outreach Engine

Create an AI-powered system that automatically qualifies inbound leads from a form or CRM, enriches the data (e.g., company size, role), and sends personalized follow-ups. This project is ideal for sales and marketing teams, showing how to streamline the top of the funnel without code.

Automated Interview Scheduler & Resume Screener

Build an AI-powered hiring assistant that automates early-stage recruitment. The system screens incoming resumes using OpenAI to extract key details (skills, experience, relevance), matches candidates to job roles, and sends personalized interview invites via Gmail with embedded Calendly scheduling links. The entire candidate journey is logged in a Notion board for easy tracking. This project helps streamline talent operations for busy HR or hiring teams using low-code tools.

Projects are subject to change as per industry inputs.

Capstone Projects

Smart Retail Bot with Agent Collaboration

Build a no-code multi-agent assistant that classifies customer queries, fetches order data from Google Sheets, and replies via Slack, streamlining e-commerce support and boosting CSAT.

Lead Qualification & Outreach Engine

Automate top-of-funnel work: qualify inbound leads, enrich CRM records, draft personalised follow-ups, and log activities—cutting manual sales effort while improving conversion rates.

Automated Interview Scheduler & Resume Screener

Deploy a hiring assistant that extracts skills from resumes, matches candidates to roles, and emails Calendly invites; track each step in a Notion board for auditability.

Projects are subject to change as per industry inputs. Choose from one of 4 Capstone Projects

Capstone Projects

Smart Retail Bot with Agent Collaboration

Build a no-code multi-agent assistant that classifies customer queries, fetches order data from Google Sheets, and replies via Slack, streamlining e-commerce support and boosting CSAT.

Lead Qualification & Outreach Engine

Automate top-of-funnel work: qualify inbound leads, enrich CRM records, draft personalised follow-ups, and log activities—cutting manual sales effort while improving conversion rates.

Automated Interview Scheduler & Resume Screener

Deploy a hiring assistant that extracts skills from resumes, matches candidates to roles, and emails Calendly invites; track each step in a Notion board for auditability.

Projects are subject to change as per industry inputs. Choose from one of 4 Capstone Projects.

falag + Instructors to Train You

Get mentored by AI/ML leaders who are driving Agentic AI innovation at top global companies.

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.

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FAQs

This program is ideal for professionals in tech-adjacent or operational roles with limited coding experience. Whether you’re looking to automate business workflows or integrate AI into everyday tools, this course helps you do it—without becoming a developer.

No. This course is designed for non-developers. If you’re comfortable with spreadsheets or have used basic automation platforms, you’ll be able to learn and build agentic AI systems using intuitive, low-code tools.

That’s completely fine. The course focuses on tools like LangGraph, CrewAI, Zapier, and Bubble to help you build smart systems using no-code or low-code interfaces—no coding required.

You’ll work with top low-code AI tools like LangChain, CrewAI, LangGraph, Zapier, Bubble, Streamlit, Postman AI Builder, and LLM APIs. You’ll also explore multi-agent frameworks and vector databases.

You’ll create real-world AI systems such as:

  • Lead qualification bots

  • Resume screening agents

  • HR and workflow automation tools

  • Customer support chatbots

  • Business intelligence agents

This course skips theory-heavy concepts and coding and instead focuses on how to build deployable, intelligent AI systems using visual interfaces and APIs—fast and with real-world impact.

Expect to commit around 10–12 hours per week. The schedule is designed to fit alongside full-time work without overwhelming you.

This is a live program. You’ll join instructor-led classes and walkthroughs, with access to all recordings if you miss a session.

Yes. You’ll get live guidance from experienced applied AI instructors and low-code experts, plus feedback on projects and career direction.

You’ll be able to independently design and launch AI agents tailored to your business or role, and build a portfolio of automation projects that showcase real capability.

Every live session is recorded and available on demand. You’ll also have ongoing support through weekly office hours, TA help, and community channels.

Yes. You’ll have access to:

  • Weekly small-group coaching

  • Weekly project/assignment reviews

  • Unlimited email-based TA support

Yes. Upon completion, you’ll earn a certificate from Interview Kickstart, validating your skills in designing and deploying agentic AI systems using low-code tools.

Yes. Upon completion, you’ll earn a certificate from Interview Kickstart, validating your skills in designing and deploying agentic AI systems using low-code tools.

You’ll know how to build and launch AI-powered workflows and agents that save time, automate processes, and support smarter business decisions—without needing engineering teams.

Transform Your Tech Career with AI Excellence

Transform Your Tech Career with AI Excellence

Join 25,000+ tech professionals who’ve accelerated their careers with cutting-edge AI skills

25,000+ Professionals Trained

₹23 LPA Average Hike

600+ MAANG+ Instructors

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