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How to Nail your next Technical Interview

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Applied Generative AI Course

  • Understand the concepts in GenAI and how to apply them to your job roles
  • Learn from FAANG+ experts who are at the forefront of GenAI innovation
  • Get hands-on GenAI training and deployment experience with Capstone Projects
Front-end Engineers!
Get interview-ready with lessons from FAANG+ engineers
Master core Front-end interview concepts
Sharpen your coding and system design interview skills
Front End Developer
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500+
Instructors, Coaches & Interviewers from Top Companies
20,000+
Students
66.5%
Avg. salary hike for alums who upleveled

Libraries and Models Covered in Generative AI Course

Google Colab
Langchain
Python & Libraries
PyTorch
Hugging Face
Transformers
Diffusion Models
Alpaca Model
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Applied Generative AI Course for SWEs

  • Suitable for Software Engineers seeking to understand Generative AI and use it in their current roles
  • Covers foundations of Python, Neural Networks, LLMs, and practical applications of GenAI in Software roles
  • AI-Powered SDLC, Design Principles, AI Tech Stack, Deployment Strategies
  • Capstone Project for hands-on experience
  • Designed and taught by FAANG+ experts
  • 14-week program
Learn More

Applied Generative AI Course for PMs

  • Suitable for Product Managers seeking to understand Generative AI and use it in their current roles
  • Covers foundations of Python, Neural Networks, LLMs, and practical applications of GenAI in Product roles
  • Practical application of GenAI in Product Management
  • Capstone Project for hands-on experience
  • Designed and taught by FAANG+ experts
  • 14-week program
Learn More

Applied Generative AI Course for Tech Professionals

  • Suitable for Tech professionals and managers seeking to upskill in Generative AI and leverage the skills in their current roles
  • Covers foundations of Python, Neural Networks, LLMs, and practical applications of GenAI in broad tech roles
  • Capstone Project for hands-on experience
  • Designed and taught by FAANG+ experts
  • 14-week program
Learn More

Advanced Generative AI Course - Learn to Scale with LLMs

  • Suitable for AI/ML professionals (MLE, Applied Scientists, Data Scientists) looking to design, implement, and evaluate LLMs and Generative Models
  • Covers advanced Deep Learning, Diffusion Models, Multimodal Models, RLHF, and LLM deployment and inferencing 
  • Capstone Project for hands-on experience
  • Designed and taught by FAANG+ experts
  • 14-week program
Learn More

Applied GenAI for Engineering Managers

  • Suitable for Engineering Managers seeking to understand Generative AI and use it in their current roles
  • Covers foundations of Neural Networks, LLMs, and Gen AI System Design suitable for EMs
  • Practical application of GenAI in Engineering Management
  • Capstone Project for hands-on experience
  • Designed and taught by FAANG+ experts
  • 14-week program
Learn More

Applied GenAI for Technical Program Managers

  • Suitable for Technical Program Managers seeking to understand Generative AI and use it in their current roles
  • Covers foundations of Python, Neural Networks, LLMs, and Gen AI program management for Program Managers
  • Practical application of GenAI in Technical Program Management
  • Capstone Project for hands-on experience
  • Designed and taught by FAANG+ experts
  • 14-week program
Learn More

Generative AI Course Curriculum

Learn GenAI with curriculum designed and taught by top industry AI/ML experts from FAANG+
Advanced Generative AI Program

Applied Generative AI Course For

Software Engineers
Python Crash Course I
Week 1
Python Crash Course II
Week 2
Hands-on with Large Language Models
Week 3
Gen AI Background
Week 4
Neural Networks Background
Week 5
Deep Dive into LLMs
Week 6
Building Applications with LLMs
Week 7
Training LLMs
Week 8
GenAI for Images
Week 9
GenAI for Audio
Week 10
AI Engineering for Software Engineers
Week 11 & 12
Capstone Projects - Software Focus
Week 13 & 14
Product Managers
Python Crash Course I
Week 1
Python Crash Course II
Week 2
Hands-on with Large Language Models
Week 3
Gen AI Background
Week 4
Neural Networks Background
Week 5
Deep Dive into LLMs
Week 6
Building Applications with LLMs
Week 7
Training LLMs
Week 8
GenAI for Images
Week 9
GenAI for Audio
Week 10
Product Management with Generative AI
Week 11 & 12
Capstone Projects - Software Focus
Week 13 & 14
Tech Professionals
Python Crash Course I
Week 1
Python Crash Course II
Week 2
Hands-on with Large Language Models
Week 3
Gen AI Background
Week 4
Neural Networks Background
Week 5
Deep Dive into LLMs
Week 6
Building Applications with LLMs
Week 7
Training LLMs
Week 8
GenAI for Images
Week 9
GenAI for Audio
Week 10
Capstone Projects
Week 11 & 12
Engineering Managers
Python Crash Course I
Week 1
Python Crash Course II
Week 2
Hands-on with Large Language Models
Week 3
Gen AI Background
Week 4
Neural Networks Background
Week 5
Deep Dive into LLMs
Week 6
Building Applications with LLMs
Week 7
Training LLMs
Week 8
GenAI for Images
Week 9
GenAI for Audio
Week 10
Strategic Integration of LLMs in Engineering Projects
Week 11
System Design Innovations with LLMs
Week 12
Capstone Projects - EM Focus
Week 13 & 14
Technical Program Managers
Python Crash Course I
Week 1
Python Crash Course II
Week 2
Hands-on with Large Language Models
Week 3
Gen AI Background
Week 4
Neural Networks Background
Week 5
Deep Dive into LLMs
Week 6
Building Applications with LLMs
Week 7
Training LLMs
Week 8
GenAI for Images
Week 9
GenAI for Audio
Week 10
Mastering Generative AI Project Management
Week 11
Strategic AI System Design for Program Managers
Week 12
Capstone Projects - TPM Focus
Week 13 & 14

Advanced Generative AI Program

Deep Learning Primer
Session 1
Gen AI: Background
Session 2
Deep-Dive into LLMs
Session 3
LLMs in Production
Session 4
Diffusion Models
Session 5
Multimodal Models
Session 6
Reinforcement Learning from Human Feedback
Session 7
Capstone Project
Session 8

FAANG+ Instructors to Train You in Live Classes

Our highly experienced instructors are active ML Professionals at top tech companies, bringing you a treasure trove of knowledge and industry expertise.
instructor

Shruti Goli

Senior Product Manager, Incode
instructor

Ahsan Ali

Applied Scientist
instructor

Randy Cogill

Senior Research Scientist
instructor

Jay Pillai

Engineering Leader - GenAI
FAANG+ Leader
instructor

Ashish Kaila 

Enthusiast & Staff Software Engineering
FAANG+ Leader
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Capstone Projects

Applied Generative AI Projects

Product Management Specialization
Generative AI Product Strategies
  • Choose any Microsoft Office(/FAANG+) product and recommend how they can improve the user's experience using generative AI (eg. Write about a product lifecycle on features like text prediction, grammar correction, and automated summarization. Leverage AI to assist users in writing emails, documents, and presentations more efficiently)
Software Engineering Specialization
Intelligent Virtual Assistant for Developers
  • Develop a virtual assistant designed for software developers who can understand complex programming queries, offer coding advice and debug tips, and even write small code snippets using LLM APIs.
Intelligent Meeting Summarizer
  • Develop a tool that leverages LLMs to provide summaries and action items from virtual meetings. This application can transcribe conversations, highlight key points, and list tasks, saving time and ensuring that important details are captured and actioned upon.
Engineering Management Specialization
AI-Driven Engineering System Enhancement
  • Redesign an existing engineering system to seamlessly integrate generative AI, focusing on crucial build vs. buy decisions. Outline the benefits and risks of integrating GenAI implementation strategies. Emphasize the enhancement of engineering efforts through automated decision-making and optimized collaboration. Evaluate the tech stack modifications, hardware scalability, and the necessary engineering resources. Address ethical and regulatory compliance to ensure a forward-thinking, robust system redesign.
Technical Program Management Specialization
Gen AI Project Lifecycle: Strategy to Execution:
  • Develop a case study on the business integration of GenAI that outlines the benefits and risks of integrating GenAI and examines the lifecycle of a generative AI project from initiation to deployment. Detail the project management strategies used, including setting OKRs, timeline planning, cost forecasting, and effort estimation. Analyze AI integration within existing systems, emphasizing adaptability and scalability. Conclude with insights on ethical practices and regulatory compliance encountered throughout the project.
Default Specialization 
AI Customer Service Agent
  • Design an LLM-based customer service agent capable of understanding and responding to customer queries in natural language. This project involves training an LLM on domain-specific data to ensure accurate and helpful responses and creating a scalable, responsive application to handle real-time customer interactions.
AI Personal Shopper
  • Create a personalized shopping assistant application using OpenAI's GPT-3.5 or a similar LLM. This virtual assistant engages with customers through natural language, understanding their preferences, budgets, and needs to recommend products they'll love. It learns from each interaction, refining its suggestions over time.

Advanced Generative AI Projects

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.
ShopTalk: Conversational Shopping Assistant
  • ShopTalk revolutionizes online shopping by turning complex queries into intuitive conversations. Your challenge is to 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.

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.

Siva Karthik Gade

Machine Learning Engineer
Placed at:
IK offers high-quality study material, knowledgeable and patient instructors working at industry-leading companies, well-paced live classes + tests + review sessions, always available technical coaches. IK brings together people with the same ambition on their platform, Uplevel, to guide and inspire each other.
humberto gonzales Grand

Humberto Gonzales Granda

Machine Learning Engineer
Placed at:
Interview Kickstart's dedicated team of instructors and coaches provided exceptional support and mentorship. Their extensive knowledge and experience in the tech industry is evident in the program's meticulously crafted curriculum. The diverse range of topics covered, including data structures, algorithms, and systems design, was nothing short of impressive, ensuring that I was well-equipped to tackle any challenge that came my way. One standout feature that sets Interview Kickstart apart is the personalized attention provided to each participant. The program's well-structured curriculum, passionate instructors, and unparalleled support make it a game-changer that can unlock your true potential.

Mike Kane

Lead Data Engineer
Placed at:
For many working professionals, going through examples and different perspectives are very valuable…. Interview Kickstart was great because its structure helped me understand each problem in my interview. The high sense of comradery in Discord was also great! I had a study group with other people in my cohort and felt the engagement was much stronger than in an academic setting.

Davide Testuggine

Software Engineer
Placed at:
What turned me to Soham’s course is the way he talked about the course as not a substitute for hard work, not a “cheat sheet” of questions but a way to actually get good at algorithms, through a lot of perspiration. The course is very intense…practice, practice, practice. And it works!.... All that practice had a long-lasting effect on my ability as a software engineer. I am simply faster at coding than I ever was…. I can keep focused on the idea if the implementation takes a few minutes as I don't get lost on implementation details anymore, so the productivity increase I experienced is greater than just the delta in time for the implementation itself.
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How to Enroll for the Applied GenAI Program

Learn more about Interview Kickstart and the Applied GenAI Program by joining the free pre-enrollment webinar.

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FAQs on Applied GenAI

1
How do I enroll in the program?
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Are the GenAI courses self-paced or live?
3
Are the Generative AI programs virtual or are there in-person classes?
4
How much time would I need to put in each week for the GenAI programs?
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Will I have to spend extra on anything while doing these programs? 
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Will I have access to the learning modules after I complete the program?
Applied GenAI
Advanced GenAI
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Why is learning Generative AI important for tech professionals now?
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  • 2
    I am not looking to switch my career to AI. Why should I enroll in the Applied GenAI Program?
    3
    Will the Applied GenAI Program help me get better jobs? 
    4
    What are the prerequisites for this Applied GenAI Program?
    1
    Why should I take the Advanced Generative AI Program?
    2
    Why is learning Generative AI in-depth important now?
    3
    Will the Advanced Generative AI Program help me get better jobs? 
    4
    What are the prerequisites for this Applied GenAI Program?