Applied Generative AI Course

Understand the concepts in GenAI and how to apply them to your job roles, paving the way for a recognized generative AI certification.

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Applied Generative AI Course for SWEs

Applied Generative AI Course for PMs

Applied Generative AI Course for Tech Professionals

Advanced Generative AI Course - Learn to Scale with LLMs

Applied GenAI for Engineering Managers

Applied GenAI for Technical Program Managers

Generative AI Course Curriculum

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

Applied Generative AI Course For

Software Engineers

Python Crash Course I

Python Crash Course II

Hands-on with Large Language Models

Gen AI Background

Neural Networks Background

Deep Dive into LLMs

Building Applications with LLMs

Training LLMs

GenAI for Images

GenAI for Audio

AI Engineering for Software Engineers

Capstone Projects - Software Focus

Product Managers

Self-paced learning videos on Python basics, Jupyter Notebooks and Google Colab, and ML Essentials available for those who want to learn from scratch

Fundamentals of Python I

Evolution of AI

Fundamentals of Python II

Hands-on with AI Models

Deep Dive into AI for Text Generation

Building AI Applications with Language Models

Training AI Models for Text Generation

Guided Live Project 1- Deploying AI Models with Streamlit

Guided Live Project 2 - Building AI Financial Bot

AI For Image Generation

Guided Live Project -3 - Linkedin Headshot App

GenAI for Audio/Guided Live Project 4 - Audio Synthesis with AI

Capstone Projects - Product Management Focus

Personalized Sessions for Product Managers

Tech Professionals

Python Crash Course I

Python Crash Course II

Hands-on with Large Language Models

Gen AI Background

Neural Networks Background

Deep Dive into LLMs

Building Applications with LLMs

Training LLMs

GenAI for Images

GenAI for Audio

Capstone Projects

Engineering Managers

Self-paced learning videos on Python basics, Jupyter Notebooks and Google Colab, and ML Essentials available for those who want to learn from scratch

Fundamentals of Python I

Evolution of AI

Fundamentals of Python II

Hands-on with AI Models

Deep Dive into AI for Text Generation

Building AI Applications with Language Models

Training AI Models for Text Generation

Guided Live Project 1- Deploying AI Models with Streamlit

Guided Live Project 2 - Building AI Financial Bot

AI For Image Generation

Guided Live Project -3 - Linkedin Headshot App

GenAI for Audio/Guided Live Project 4 - Audio Synthesis with AI

Capstone Projects - EM Focus

Personalized Sessions for Engineering Managers

Technical Program Managers

Self-paced learning videos on Python basics, Jupyter Notebooks and Google Colab, and ML Essentials available for those who want to learn from scratch

Fundamentals of Python I

Evolution of AI

Fundamentals of Python II

Hands-on with AI Models

Deep Dive into AI for Text Generation

Building AI Applications with Language Models

Training AI Models for Text Generation

Guided Live Project 1- Deploying AI Models with Streamlit

Guided Live Project 2 - Building AI Financial Bot

AI For Image Generation

Guided Live Project -3 - Linkedin Headshot App

GenAI for Audio/Guided Live Project 4 - Audio Synthesis with AI

Capstone Projects - TPM Focus

Personalized Sessions for Technical Program Managers

Advanced Generative AI Program

Deep Learning Primer

Gen AI: Background

Deep-Dive into LLMs

LLMs in Production

Diffusion Models

Multimodal Models

Reinforcement Learning from Human Feedback

Capstone Project

Libraries and Models Covered in Generative AI Course

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.

FAANG+ Instructorsto 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.

Shruti Goli

Senior Product Manager, Incode

Ahsan Ali

Applied Scientist

Randy Cogill

Senior Research Scientist

Jay Pillai

Engineering Leader - GenAI

FAANG+ Leader

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Instructors, Coaches & Interviewers from Top Companies

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Students

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Upleveled

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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.

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.

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 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.

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

How do I enroll in the program?

The best way to join the course is to first register for our pre-enrolment session here. You will learn all about the course, its cost, and other useful details.

Are the GenAI courses self-paced or live?

Both the Applied GenAI Program and the Advanced Generative AI Program comprises live classes. You will also receive class recordings after each day’s session.

Are the Generative AI programs virtual or are there in-person classes?

There are no in-person classes in Interview Kickstart’s GenAI programs—it is fully online and designed keeping working professionals in mind.

How much time would I need to put in each week for the GenAI programs?

You will need to put in around 8 to 12 hours each week for this course.

Will I have to spend extra on anything while doing these programs?

Yes, up to $20. This is We will provide you with all the resources required for the program. However, you are encouraged to read books and research papers, watch videos, and peruse other resources to keep yourself updated in the field.

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.

How Does This Course Prepare Me For A Career In Generative AI?

Are There Prerequisites For Enrolling In This Course?

What to look for in the Applied GenAI course from Interview Kickstart?

The Applied GenAI course has been co-created by FAANG+ instructors who happen to be a part of Generative AI teams in their respective organizations. This direct involvement not only enriches the curriculum but also benefits participants to access real-world case studies and best practices. One can learn in-demand industry-relevant topics, including Generative AI models, neural networks, LLM, diffusion models, and more without having to become an ML expert! As the landscape of Generative AI evolves, so does our course content, ensuring it remains pertinent and comprehensible to a broader audience. Our capstone projects, co-created by FAANG+ instructors ensure you learn to create LLM-based applications & strategies to showcase your skills.

Who is this Applied GenAI course ideal for?

Interview Kickstart’s Applied GenAI course is ideal for Tech/IT professionals seeking to understand Generative AI or innovate in their current role. Creators can unleash their creative potential and tech professionals can stay ahead of the curve by building a strong foundation in Generative AI. Whether you’re from marketing, product development, or any other domain, Generative AI skills can set you apart and open new avenues for growth and innovation.

What are the eligibility criteria for Applied GenAI?

This Applied GenAI program is suitable for anyone in the tech field with a strong inclination to learn Generative AI and its transformative applications, regardless of their level of expertise or background knowledge.

Are there any required programming skills needed before enrolling in Applied GenAI?

Also known by its name “Generative AI for ALL,” our thoughtfully created course doesn’t require any prior coding skills. True to its name, the course is accessible to a wider audience, including those with little to no background in coding. The course begins with foundational concepts like Python and builds up to more advanced topics in a way that’s more understandable and engaging. We offer all the required tools that help in exploring Generative AI.

Why should I take the Applied GenAI course from Interview Kickstart?

Distinctive and Practical: Unlike traditional methods where learners first grasp a concept before practical application, we prioritize hands-on experience. Participants dive straight into constructing with LLMs, gaining immediate insight into the intricate workings of Generative AI, while also learning the concepts thoroughly. This method allows learners to visualize and comprehend every step. Simplified Explanations: The language used while teaching the concepts of Generative AI is free from jargon, ensuring the course is easy to comprehend for anyone coming from diverse backgrounds. Instructor Pool: Our GenAI course boasts experts from top-tier companies who are working at the forefront of Generative AI innovation. Learning directly from these pioneers propels you far beyond the scope of typical online lectures. Our instructors have been a part of Google DeepMind, Amazon, and Apple and specialize in LLM, Generative AI, and career development. Domain-Specific Classes: The program also offers specific generative AI classes for domains such as Software Engineering, Product Management(Tech), Engineering Managers, and Technical Program Managers. These classes focus on generative AI practical use cases in the respective domains. Capstone Projects: The Generative AI course includes a variety of comprehensive projects, each tailored to mirror real-world projects running across various industries. These projects have been developed in collaboration with our FAANG instructors.

How can I apply the skills learned in the Applied GenAI course to my current role?

Generative AI can greatly help in your current role and improve your overall productivity. Product Managers can integrate AI during the product development lifecycle. They can communicate effectively with engineers, data scientists, and designers about AI capabilities and requirements. Similarly, Engineering Managers can effectively oversee AI project execution, manage teams, and ensure projects. Familiarity with Retrieval-augmented generation (RAG), LangChain can aid in conceptualizing innovative applications. Software Engineers can learn how to use Generative AI to integrate into their current product, code generation, debugging, and testing to significantly reduce development time. Security Engineers can learn how to employ Generative AI for identifying vulnerabilities, threat modeling, and risk assessment.

Will I receive a certificate after I complete the Applied GenAI course?

Are there any hands-on projects incorporated into the curriculum?

How long does the GenAI course take to complete?

Can I access course materials and lectures after the course is completed?

How does the Applied GenAI course stay updated with the latest advancements in the field?

Why should I take the Advanced Generative AI Program?

Classical ML is fast becoming obsolete, and Generative AI is at the forefront of the AI revolution. Our 360° curriculum on GenAI is designed to equip you with a deep understanding of LLMs, Diffusion Models, Reinforcement Learning, Multi-Modality, and Visual Transformers. You will learn not just the current industry practices but also the GenAI models and systems that will become necessary in the future. The Capstone Project where you will deploy and manage a GenAI project on AWS will give you hands-on real-world experience and prepare you to start working on GenAI projects in your current and next jobs. This is not a short and cute recorded videos-based course–it is a professional upskilling program taught by FAANG+ industry practitioners meant to give your ML expertise more depth and variety.

Why is learning Generative AI in-depth important now?

In today’s rapidly evolving technological landscape, delving deep into Generative AI is crucial for anyone involved in Machine Learning (ML), Artificial Intelligence (AI), or Data Science. Generative AI, an advanced frontier in AI, focuses on creating new content, from images to text, that can pass as human-generated. Here are key reasons why mastering Generative AI is essential now: ‍

Innovation and Competitive Edge: Generative AI represents the cutting edge in AI and ML. By understanding its mechanisms, professionals can drive innovation in their fields, stay ahead of the curve, and maintain a competitive edge.
Versatile Applications: The applications of Generative AI are vast and growing, spanning industries like healthcare, entertainment, automotive, and more. Deep knowledge in this area opens up myriad opportunities for practical and impactful applications.
Enhanced Problem-Solving Skills: Learning Generative AI deepens your problem-solving skills. It involves complex algorithms like GANs (Generative Adversarial Networks), which require a solid grasp of neural networks and probabilistic models, enhancing analytical thinking.
Future Job Market Relevance: As industries increasingly adopt AI, expertise in Generative AI positions you favorably in the job market. This specialization ensures that your skill set remains relevant and in-demand.
Contribution to Ethical AI Development: With great power comes great responsibility. A deep understanding of Generative AI includes grappling with ethical considerations. This knowledge is vital for developing AI that is responsible and beneficial for society.

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

With GenAI jobs on the rise among top tech companies, if you complete our program, you will be better equipped than many professionals out there in advanced concepts of Generative AI. This will definitely improve your employability and market value. That said, Interview Kickstart’s Advanced Generative AI Program does not have a tech interview prep module as of now.

What are the prerequisites for this Applied GenAI Program?

You are expected to know Python or another scripting language. Prior experience in basic/classical ML modeling or prototyping will be of immense benefit when doing this course. You should also have beginner-level comfort with Deep Learning concepts.

Applied Generative AI Course

Next webinar starts in

Applied Generative AI Course for SWEs

Applied Generative AI Course for PMs

Applied Generative AI Course for Tech Professionals

Advanced Generative AI Course - Learn to Scale with LLMs

Applied GenAI for Engineering Managers

Applied GenAI for Technical Program Managers

Generative AI Course Curriculum

Applied Generative AI Course For

Software Engineers

Product Managers

Self-paced learning videos on Python basics, Jupyter Notebooks and Google Colab, and ML Essentials available for those who want to learn from scratch

Tech Professionals

Engineering Managers

Self-paced learning videos on Python basics, Jupyter Notebooks and Google Colab, and ML Essentials available for those who want to learn from scratch

Technical Program Managers

Self-paced learning videos on Python basics, Jupyter Notebooks and Google Colab, and ML Essentials available for those who want to learn from scratch

Advanced Generative AI Program

Libraries and Models Covered in Generative AI Course

Capstone Projects

Applied Generative AI Projects

Product Management Specialization

Software Engineering Specialization

Engineering Management Specialization

Technical Program Management Specialization

Default Specialization

Advanced Generative AI Projects

FAANG+ Instructorsto Train You in Live Classes

Shruti Goli

Ahsan Ali

Randy Cogill

Jay Pillai

The IK Experience: What Our Alumni Are Saying

Mike Kane

Davide Testuggine

Siva Karthik Gade

Humberto Gonzales Granda

How to Enroll for the Applied GenAI Program

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