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Upgrade Your Software Role with In-Demand AI Skills for FAANG+ Success

Over 20% Software JDs already ask for Generative AI and LLM skills—this is expected to grow to ~50% by the end of 2025. Are you ready for this AI integration?

  • Gain hands-on experience in application of GenAI in real-world projects
  • Learn the latest in AI tech, integrations, and tools from FAANG+ AI/ML experts
  • Course modules curated for Software Engineers (Back-end, Front-end, Full-stack, Test)
  • Land high-paying SWE roles in top tech and product companies
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How Learning Applied Generative AI Will Help You

1

Mastering the Generative AI tech stack, including LLMs, LangChain, vector databases, agentic AI, and multi-agent systems will help you gain a competitive edge.

2

Learning to design, develop, and deploy scalable Generative AI applications will future-proof your career.

3

Getting mentored by FAANG+ AI/ML experts will help you transition into Tier 1 AI Software Engineering roles.

Our Solution: AI Software Engineering Program

Course Highlights

1

Best suited for: Current or former Back-end, Front-end, Full-stack, or Test Engineers seeking a project-centric, structured curriculum to learn AI and Generative AI skills.

2

Duration: 12 weeks

3

Investment in career growth:
  • 60+ hours of self-paced learning with FAANG+ leaders
  • 20+ hours of live interaction with industry experts from top tech companies
  • 9+ hours of expert-guided live hands-on projects

4

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

5

Learn from: AI/ML Practitioners and AI SWEs from top tech companies in Silicon Valley

6

EdgeUp: Additional 12-week FAANG+ interview preparation for the AI-enhanced SWE 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

AWS

LlamaIndex

Haystack

Why Choose Interview Kickstart’s AI Software Engineering Program

Personalized AI Skills for SWEs

Understand and master specific generative AI tools, applications, and concepts tailored to advance your SWE career.

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.

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Detailed Curriculum of Our AI Software Engineering EdgeUp Program

Python Fundamentals Crash Course
  • Week 1
Python for GenAI
  • Week 2
Hands-on with GenAI Models
  • Week 3
Deep Dive into LLMs
  • Week 4
Building Applications with LLMs
  • Week 5
Training LLMs
  • Week 6
Live Guided Project 1 - Financial Bot with LLMs
  • Week 7
Live Guided Project 2 - Automated Data Insights Generator
  • Week 8
GenAI for Images
  • Week 9
Live Guided Project -2 - Linkedin Headshot Generator App
  • Week 10
Capstone Project
  • Weeks 11-12
Interview Preparation and Career Sessions [Only with EdgeUp]
  • (Specific to Back-end, Front-end, Full-stack, and Test Engineers)
  • Weeks 13-28
Bonus content:
  • Evolution of GenAI
  • Project - Call Center Conversational Audio Bot with GenAI

Live Guided Projects and Capstone Projects

Live Guided 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.

Capstone Projects

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.

Projects are subject to change as per industry inputs.

falag + Instructors to Train You

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

Mona Mona

Generative AI Lead

Muye Zhu

Senior Software Engineer, Google

Ralph Blanes

Research Software Engineer, Ex-Google

Rishabh Misra

Lead ML Engineer & Researcher, Ex-Google

Ram Vegiraju

ML Architect
Register Now!
and learn all you need to know about the course
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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.

Vishal Agarwal

Senior Software Engineer, Applied Machine Learning, Apple
I’m a senior software engineer at Apple and I enrolled into IK to help me improve my DS & Algorithm (DSA) understanding and system design skills. Omkar Deshpande, who has built the material, is absolutely the BEST teacher I've found for learning DSA! He breaks down various algorithms and complexity into simple patterns that help your grok the concepts and applications. He also provides a great framework for handling system design questions. Other platform coaches are mostly senior experts in the industry and I've learnt so much their experience as well. Lastly, the IK operations staff is super flexible and supportive and respond immediately to any needs. I would VERY highly recommend this.

Dinesh Sharma

Staff Software Engineer, Juniper Networks
I’m into the software development field for more than 20 years. The interview trends and the basic skillset needs have drastically changed during this time. I found Interview Kickstart's course contents structuring itself a great plan for efficiently covering all the needed areas for preparation. The course structure is planned by the experts from top companies in a very systematic manner and I think this can't be better for preparing in shorter time. The mentoring in the classes by IK mentors on this adds to the above like nothing else. The cohort learning in the classes gives entirely different experience of solving the problems in a group. Specifically for me, it has not just been upskilling or preparing for the interview, but ramping up myself to a level to enjoy the problem solving on daily basis.

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

Step 1: Sign Up for the Free Webinar

Register for our live webinar where we’ll dive into what the Generative AI EdgeUp course offers.

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.

Register Now!
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FAQs

Interview Kickstart’s AI for Software Engineers EdgeUp Program is a unique course designed to equip SWEs with Generative AI skills relevant to Software Engineering 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.

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 Software Engineering, and another 12 weeks on interview preparation that incorporates both Software Engineering and Generative AI integration.

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: 
  1. There’s a 263% increase in AI talent in India in the last 7 years (AI Index Report 2024, Stanford University)
  2. 71% leaders would hire a less experienced person with AI skills (Microsoft-LinkedIn 2024 Work Trend Index)
  3. 66% leaders will not hire someone without AI skills (Microsoft-LinkedIn 2024 Work Trend Index)
  4. 55% of orgs use AI in at least one business unit or function (AI Index Report 2024, Stanford University)
  5. 17% increase in AI hiring in India (AI Index Report 2024, Stanford University)
  6. 20% SWE roles already require some form of AI skills (Interview Kickstart internal research)

Many companies have started adding Generative AI skills to job descriptions of several tech and product roles, including Software Engineering. We analyzed over 10,000 JDs and found that over 20% of software 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.

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.

This program is suitable for current or former Back-end, Front-end, Full-stack, or Test Engineers who want to learn AI skills and use it to upgrade their current roles. The interview prep modules make it perfect for software engineers aiming to break into a high-paying FAANG+ role.

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

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

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

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.

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