Elevate Your Tech Career with In-Demand Generative AI Skills

Learn Applied Generative AI from Silicon Valley and FAANG+ experts working on cutting edge AI/ML projects and transition to high-paying roles at Tier 1 companies

Customized learning modules for:

And learn all you need to know about the course

It's Free

Next webinar starts in

DAYS

MINS

SEC

Course Highlights

Suitable for: Tech professionals from any domain who want to understand GenAI and use it in their current roles

Duration: 12 weeks

Course hours:

20+ hours of live interaction with industry experts from top tech companies
9+ hours of expert-guided live hands-on projects
60+ hours of self-paced content delivered by FAANG+ instructors from Silicon Valley

Projects: 3 Live Guided Projects, 2 Capstone Projects, 1 Bonus Project

Instructors: AI/ML Practitioners from top tech companies in Silicon Valley and India

Curriculum coverage: Python For GenAI, Foundations & Practical Applications of LLMs, Cutting Edge GenAI Technologies for Image & Audio Generation, and practical applications of AI/ML in your domain

EdgeUp: Additional FAANG+ interview preparation for the AI-enhanced roles you’d apply for

Careers transformed

0 K+

Average package for alumni

₹ 0 LPA

Average ROI on course price

0 x

16+ Tools & Tech You’ll Learn

RAG

Agents

Multi-Agents

Langchain

Streamlit Cloud

Chroma Vector DB

GPT Models

Whisper

PyTorch

NumPy & Pandas

ControlNet

Diffusion Models

LoRA

ComfyUI

ReAct

Pyttsx3

16+ Tools & Tech You’ll Learn

Why Choose Interview Kickstart’s GenAI EdgeUp Program

Personalized Generative AI Curriculum

Master all you need to know about GenAI, whether you are an SWE, PM, TPM, Engineering Manager, ML Engineer, or Data Scientist.

Instructors from Top Tech Companies

Learn cutting-edge Applied Generative AI directly from experts at top tech companies in Silicon Valley and India.

Latest Research and Innovations

Stay current with industry trends and advancements with the help of our instructors, and become a valuable asset to potential employers.

Blended Learning

Our 360° program combines self-paced modules with live workshops. Access Python basics pre-launch, content releases weekly, and live classes on Sundays.

Hands-on Experience Through Projects

Develop practical expertise in Generative AI through 4 guided projects, a take-home assignment, and 2 capstone projects.

Career Support

Prep for FAANG+ interviews for AI-enabled roles and get support such as resume optimization, behavioral coaching, and placement assistance.

Next webinar starts in

DAYS

MINS

SEC

Detailed Curriculum of Our Generative AI Program

General Tech Professionals

Python Fundamentals Crash Course

Python for GenAI

Hands-on with Generative AI

Deep Dive into LLMs

Building Applications with LLMs

Training LLMs

Guided Live Project 1 - Financial Bot with LLMs Training LLMs

Guided Live Project 2 - LLM App with Streamlit

GenAI for Images

Guided Live Project 3 - Linkedin Headshot App

Capstone Project

Bonus content:

Software Engineers

Python Fundamentals Crash Course

Python for GenAI

Hands-on with Generative AI

Deep Dive into LLMs

Building Applications with LLMs

Training LLMs

Guided Live Project 1 - Financial Bot with LLMs Training LLMs

Guided Live Project 2 - LLM App with Streamlit

GenAI for Images

Guided Live Project -2 - Linkedin Headshot App

Capstone Project

Interview Preparation and Career Sessions (Specific to Back-end, Front-end, Full-stack, and Test Engineers)

Bonus content:

Personalized Software-Specific Sessions

Between Weeks 3 and 8

Product Managers

Python Fundamentals Crash Course

Python for GenAI

Hands-on with Generative AI

Deep Dive into LLMs

Building Applications with LLMs

Training LLMs

Guided Live Project 1 - Financial Bot with LLMs Training LLMs

Guided Live Project 2 - LLM App with Streamlit

GenAI for Images

Guided Live Project 3 - Linkedin Headshot App

Capstone Project

Interview Preparation and Career Sessions

Bonus content:

Personalized PM-Specific Sessions

Between Weeks 3 and 8

Technical Program Managers

Python Fundamentals Crash Course

Python for GenAI

Hands-on with Generative AI

Deep Dive into LLMs

Building Applications with LLMs

Training LLMs

Guided Live Project 1 - Financial Bot with LLMs Training LLMs

Guided Live Project 2 - LLM App with Streamlit

GenAI for Images

Guided Live Project 3 - Linkedin Headshot App

Capstone Project

Interview Preparation and Career Sessions

Bonus content:

Personalized TPM-Specific Sessions

Between Weeks 3 and 8

Engineering Managers & Leaders

Python Fundamentals Crash Course

Python for GenAI

Hands-on with Generative AI

Deep Dive into LLMs

Building Applications with LLMs

Training LLMs

Guided Live Project 1 - Financial Bot with LLMs Training LLMs

Guided Live Project 2 - LLM App with Streamlit

GenAI for Images

Guided Live Project 3 - Linkedin Headshot App

Capstone Project

Interview Preparation and Career Sessions

Bonus content:

Personalized EM-Specific Sessions

Between Weeks 3 and 8

ML Engineers and Data Scientists

Deep Learning Essentials: Neural Networks, Backpropagation, and Optimization

Exploring Neural Network Architectures: CNNs, RNNs, and LSTMs in Action

GenAI Breakthrough: AutoEncoders, Transformers, Attention Mechanisms, Normalization and more

Mastering Large Language Models: Pre-training, RAG, Langchain & LLM Agents

LLM Optimization: Fine-Tuning, LoRA, and Model Distillation

Text-to-Image Generation with GenAI: VAEs, GANs, and Diffusion Models

Advanced Image Generation with GenAI: Diffusion, CLIP, and Multimodal Models

Reinforcement Learning Essentials: Q-Learning, Bandits, and Decision Making

Advanced Reinforcement Learning and RLHF: Policy Gradients and Actor-Critic Methods

Capstone Projects

Interview Preparation and Career Sessions

Capstone Projects

Live Guided Projects and Capstone Projects

LLM App with Streamlit

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.

Financial Bot with LLMs

Build a chatbot capable of handling financial queries and providing real-time insights. Learners will develop skills in web scraping, integrate LLMs with Vector Databases (VectorDB) for efficient data retrieval, and fine-tune models for accuracy in financial scenarios. The project also includes building a responsive web interface using Streamlit. Tools like Python, LangChain, and Chroma Vector DB are utilized for data handling.

Linkedin Headshot App with Diffusion Models & Stability API

Build an AI-powered app that creates professional LinkedIn profile images using Generative AI. By leveraging advanced image generation models, the app allows users to produce high-quality headshots that convey different styles and messages. Participants will learn to deploy AI models using tools like Runpod, VSCode, and ComfyUI, and link these models to user interfaces, enabling a live, customizable headshot generator.

Bonus Project: Call Center Conversational Audio Bot with GenAI

Enhance call center operations with a voice-activated chatbot powered by Generative AI. Process audio inputs and generate context-aware responses for seamless customer engagement. Features include multilingual support, sentiment analysis, and conversation memory. Integrate Whisper, OpenAI GPT, and LangChain. Use FFmpeg for audio processing and build UIs with Streamlit and Gradio.

Software

Automated Code Reviewer/Pull Request Reviewer Bot Powered by LLMs

Enhance software development with an AI-powered pull request (PR) reviewer bot that automates code reviews using Large Language Models (LLMs). This bot provides detailed feedback, identifies bugs, security vulnerabilities, and coding violations, and suggests best practices to streamline the code review process. It improves efficiency and code quality while assisting human reviewers. Integrate with GitHub/GitLab for seamless operation and use models like GPT-4 or Hugging Face Transformers for accurate code analysis. Build with React or Streamlit, and deploy using Docker and AWS for smooth execution.

Call Center Summarization App Powered by LLMs

Enhance call center operations with an AI-powered summarization bot that leverages Large Language Models (LLMs) to generate concise summaries of customer interactions. This tool provides quick overviews, improving decision-making and customer service efficiency. The bot automates manual summary writing, ensuring consistent and accurate records. Integrate with GPT-4, Cohere, or Hugging Face Transformers for superior NLP capabilities. Build the interface with React or Streamlit, and deploy using Docker and AWS for seamless operation.

Email Generator App

Streamline email communication with an AI-powered Email Generator App that leverages Large Language Models (LLMs) to generate professional and contextually accurate email drafts. The app provides quick, reliable suggestions based on user inputs, ensuring high accuracy and relevance. It supports customization and personalization, enhancing the efficiency of email management. Integrate with models like GPT-4, Cohere, or Hugging Face Transformers for superior performance. Build the interface with React or Streamlit, and deploy the application using Docker and AWS for seamless operation.

Resume/ATS scoring assistant

Streamline the hiring process with an AI-powered assistant that automates resume screening and scoring using large language models (LLMs). This tool evaluates resumes against job descriptions, identifying strengths, weaknesses, and alignment with role requirements. It enhances ATS platforms by providing actionable feedback and recommendations to find the best-fit candidates. Integrate with tools like GPT-4, Gemini Pro, and LangChain for seamless operation. Build a user-friendly interface using React, Node.js, and MongoDB, and deploy it on the cloud with Docker and AWS.

BYOP [Bring Your Own Project]

Empower learners to take ownership of their learning with the Bring Your Own Project (BYOP) initiative. This program encourages participants to apply the skills they have acquired by working on personal or professional projects of their choice. BYOP offers mentorship, structured guidance, and feedback to ensure projects are aligned with industry standards and best practices. It fosters creativity, innovation, and real-world problem-solving, enabling participants to build impactful solutions. The program supports deployment on cloud platforms like AWS and encourages collaboration through GitHub. Participants receive guidance on selecting the right tools and frameworks, such as React, Node.js, MongoDB, and OpenAI’s GPT-4, based on project requirements.

Product Managers

Revitalize an Existing Product with GenAI

Explore how GenAI can enhance an existing product by identifying specific opportunities and implementing AI-driven solutions. Participants will develop a roadmap covering resource allocation, timelines, risks, and success metrics.

Conceptualize a New AI-Powered Product

Design a new product from scratch that leverages GenAI technologies to address market needs. Participants will define the product’s goals, target users, AI integration strategy, and a go-to-market (GTM) plan.

TPMs

AI/ML Program Charter

Develop a comprehensive program charter for an AI/ML initiative, outlining objectives, stakeholders, resources, risks, and success metrics. This project emphasizes strategic planning, stakeholder alignment, and AI/ML project scoping.

AI/ML Case Study—Problem Solving Framework for Execution

Address a real-world AI/ML program challenge through a structured problem-solving framework. Participants will analyze pain points, devise solutions, and create a recommendation plan focused on execution and delivery.

Engineering Managers

GenAI Application Proposal

In this project, participants will act as engineering leaders for one of five industries: Banking, Healthcare, Social Media, Customer Support, or GenAI Platforms. They will identify opportunities for GenAI to enhance efficiency or competitiveness, create a comprehensive proposal, and pitch it to stakeholders for investment.

System Architecture and Integration Plan

Participants will develop a detailed system architecture to integrate their GenAI solution, focusing on key trade-offs, resource planning, and best practices for deployment. The project emphasizes technical competency and strategic decision-making, ensuring long-term impact and scalability.

ML Engineers/Data Scientists

AI-Powered Resume Coach

Develop a Resume Coach application that offers personalized feedback and suggestions to improve resumes. The application will analyze a user’s resume and compare it to job descriptions and industry standards, providing constructive feedback on content, structure, and language and suggesting improvements based on successful resumes in the field.

Conversational Shopping Assistant

ShopTalk revolutionizes online shopping by turning complex queries into intuitive conversations. Create an AI assistant that understands detailed requests, such as finding a red men’s shirt under $50 and providing precise product suggestions. Focus on enhancing user interaction with real-time, natural language responses, ensuring a seamless and engaging shopping experience. Embrace ShopTalk, where shopping becomes as simple as a chat.

Projects are subject to change as per industry inputs.

+ Instructors to Train You

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

Mona Mona

Generative AI Lead

Ralph Blanes

Research Software Engineer, Ex-Google

Rishabh Misra

Lead ML Engineer & Researcher, Ex-Google

Behnoosh Parsa

Senior Applied Scientist - GenAI

Ujjwal Das Gupta

Senior ML Engineer, Ex-Google, Ex-Apple

and learn all you need to know about the course

It's Free

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.

Venkatesh Babu

Senior Director - ISV/SolEx Technical Partner Management

I highly recommend the Applied GenAI course by Interview Kickstart. The PM path was incredibly well-organized, reshaping my thinking on how to leverage Generative AI in product management. The hands-on approach, insightful curriculum, and experienced instructors made it an outstanding learning experience!

Amit Vaswani

Lead Software Engineer, Highnote

I recently completed the Applied Gen AI course at Interview Kickstart, and I couldn't be more impressed. The course was well-structured into modules, making complex concepts easier to digest. For someone without a strong programming background, I appreciated the beginner Python class they offer for non-programmers—it helped build a solid foundation. The instructors are fantastic and always go the extra mile to ensure every question is answered. They are patient and don’t rush through the material, often allowing classes to run over to ensure everyone fully grasps the concepts. One of my favorite features is the 'Expert Connect,' where you can have 1-on-1 sessions with instructors to clear any doubts. Overall, Interview Kickstart provided an exceptional learning experience, and I highly recommend it to anyone looking to uplevel in their career.

Dwaraknath Bakshi

Senior Director of Engineering, Freshworks

IK has been an integral part of my life for last seven years. Since being part of some of the early batches to most recently pursuing their ML track I have done several courses with them. What amazes me is the approachability of the staff, the proactive support team and professionalism. The material is amazing and profound. Omkar and Niloy to name a few they have amazing faculty who are very knowledgeable and are also great teachers. I can keep raving about IK. It’s definitely a boon to software engineers.

How to Enroll for Interview Kickstart’s Generative AI EdgeUp Program

Step 1: Sign Up for the Free Webinar

Step 2: Attend the Live Session

Get expert insights on the AI/ML landscape and get all the information on how you can successfully add Generative AI skills to your current role.

Step 3: Complete Your Enrollment

Get personalized assistance from our Program Advisor to smoothly enroll in the Generative AI EdgeUp course.

And learn all you need to know about the course

It's Free

Next webinar starts in

DAYS

MINS

SEC

FAQs

What is the Interview Kickstart Generative AI EdgeUp Program?

Interview Kickstart’s Generative AI EdgeUp Program is a unique course designed to equip you with Generative AI skills relevant to your domain and job role AND prepare you for interviews at top tech companies. You will not only gain the skills required to stay relevant in today’s AI-driven tech world, but also be ready to ace interviews to land your dream job.

How does the EdgeUp program work?

EdgeUp is a combination of Applied Generative AI and our industry-acclaimed interview prep programs. You will first spend 12 weeks training on Generative AI and learning the practical applications of it in your domain, and another 12-14 weeks on interview preparation that incorporates both your current domain and Generative AI integration.

Why should I learn AI skills now?

AI skills are in high demand as businesses rapidly adopt AI technologies to stay competitive. Learning AI now positions you to capitalize on growing job opportunities, command higher salaries, and future-proof your career as AI continues transforming industries. Whether you’re looking to switch careers or enhance your current role, AI expertise is becoming increasingly valuable across all sectors. Here’s some industry context:

There’s a 263% increase in AI talent in India in the last 7 years (AI Index Report 2024, Stanford University)
71% leaders would hire a less experienced person with AI skills (Microsoft-LinkedIn 2024 Work Trend Index)
66% leaders will not hire someone without AI skills (Microsoft-LinkedIn 2024 Work Trend Index)
55% of orgs use AI in at least one business unit or function (AI Index Report 2024, Stanford University)
17% increase in AI hiring in India (AI Index Report 2024, Stanford University)
15% tech roles already require some form of AI skills (Interview Kickstart internal research)

How is Generative AI relevant to my role?

Many companies have started adding Generative AI skills to job descriptions of several tech roles including Software Engineering, Engineering Managers, Product Managers, and Technical Program Managers. We analyzed over 10,000 JDs and found that over 15% of the roles now require GenAI skills. You need to know not just how to use various GenAI tools such as GPT and Midjourney, but also how to best leverage the power of GenAI to increase productivity, efficiency, and creativity.

Will the Generative AI EdgeUp Program help me get better jobs?

Yes. The first half of this program will be about building GenAI literacy and technological fluency for creative application in various professional roles. The second half is interview preparation, through which you will be prepared for the toughest interviews in the tech world today.

What is the eligibility criteria for the Generative AI EdgeUp Program?

This program is suitable for anyone in the tech field with a strong inclination to learn Generative AI, and land their dream roles at top-tier tech companies.

Are the modules self-paced or live?

The Applied GenAI EdgeUp modules follow a blended learning format, which combines self-paced classes with live classes,
workshops, AMAs, and project-based learning. You will also receive class recordings after each day’s session.

How much time would I need to put in each week for the Generative AI EdgeUp program?

You will need to put in around 10 to 12 hours each week for this course.

Will I have access to the learning modules after I complete the program?

Yes. You will be able to access all class recordings even after you complete the program.

What is the difference between Live Guided Projects and Capstone Projects?

a) Live Guided Projects are instructor-led, step-by-step tutorials where participants code along with the instructor to complete a project from start to finish. These projects provide structured guidance and are designed to help learners understand the fundamentals without feeling overwhelmed. They’re part of the regular curriculum and don’t require separate submissions.

b) Capstone Projects, however, are learner-driven assignments typically placed at the end of a course. They allow students to independently apply all the knowledge gained throughout their studies. In the Generative AI EdgeUp Courses specifically, these projects have been enhanced with:

Early introduction at the start of domain-specific pathways
Ongoing development alongside regular coursework
Regular instructor feedback through interim check-ins and Q&A sessions
Final presentations to the entire cohort
Peer feedback and grading opportunities

So, while Live Guided Projects teach through direct instruction, Capstone Projects emphasize independent application of skills with structured support.

Elevate Your Tech Career with In-Demand Generative AI Skills

It's Free

Course Highlights

16+ Tools & Tech You’ll Learn

RAG

Agents

Multi-Agents

Langchain

Streamlit Cloud

Chroma Vector DB

GPT Models

Whisper

PyTorch

NumPy & Pandas

ControlNet

Diffusion Models

LoRA

ComfyUI

ReAct

Pyttsx3

16+ Tools & Tech You’ll Learn

Why Choose Interview Kickstart’s GenAI EdgeUp Program

Personalized Generative AI Curriculum

Instructors from Top Tech Companies

Latest Research and Innovations

Blended Learning

Hands-on Experience Through Projects

Career Support

Next webinar starts in

Detailed Curriculum of Our Generative AI Program

Between Weeks 3 and 8

Between Weeks 3 and 8

Between Weeks 3 and 8

Between Weeks 3 and 8

Capstone Projects

Live Guided Projects and Capstone Projects

LLM App with Streamlit

Financial Bot with LLMs

Linkedin Headshot App with Diffusion Models & Stability API

Bonus Project: Call Center Conversational Audio Bot with GenAI

Software

Automated Code Reviewer/Pull Request Reviewer Bot Powered by LLMs

Call Center Summarization App Powered by LLMs

Email Generator App

Resume/ATS scoring assistant

BYOP [Bring Your Own Project]

Product Managers

Revitalize an Existing Product with GenAI

Conceptualize a New AI-Powered Product

TPMs

AI/ML Program Charter

AI/ML Case Study—Problem Solving Framework for Execution

Engineering Managers

GenAI Application Proposal

System Architecture and Integration Plan

ML Engineers/Data Scientists

AI-Powered Resume Coach

Conversational Shopping Assistant

Projects are subject to change as per industry inputs.

+ Instructors to Train You

The IK Experience: What Our Alumni Are Saying

Venkatesh Babu

Amit Vaswani

Dwaraknath Bakshi

How to Enroll for Interview Kickstart’s Generative AI EdgeUp Program

It's Free

Transform Your Tech Career with AI Excellence

Transform Your Tech Career with AI Excellence

Transform your tech career