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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We also offer an applied generative AI course and even a specialized machine learning course, if that’s what you’re interested in. Read Less

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 Fundamentals Crash Course
Python For GenAI
Evolution of GenAI
Hands-on with Large Language Models
Deep Dive into LLMs
Building Applications with LLMs
Training LLMs
Live Guided Project 1 - Automated Data Insights Generator
Live Guided Project 2 - Financial Bot with LLMs
GenAI for Images
Live Guided Project -3 - Linkedin Headshot Generator App
Live Guided Project 4 - Call Center Conversational Audio Bot with GenAI
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

Python Fundamentals Crash Course
Python For GenAI
Evolution of GenAI
Hands-on with Large Language Models
Deep Dive into LLMs
Building Applications with LLMs
Training LLMs
Live Guided Project 1 - Automated Data Insights Generator
Live Guided Project 2 - Financial Bot with LLMs
GenAI for Images
Live Guided Project -3 - Linkedin Headshot Generator App
Live Guided Project 4 - Call Center Conversational Audio Bot with GenAI
Product Management Focus
Personalized Sessions for Product Managers

Tech Professionals

Python Fundamentals Crash Course
Python For GenAI
Evolution of GenAI
Hands-on with Large Language Models
Deep Dive into LLMs
Building Applications with LLMs
Training LLMs
Live Guided Project 1 - Automated Data Insights Generator
Live Guided Project 2 - Financial Bot with LLMs
GenAI for Images
Live Guided Project -3 - Linkedin Headshot Generator App
Live Guided Project 4 - Call Center Conversational Audio Bot with GenAI
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

Python Fundamentals Crash Course
Python For GenAI
Evolution of GenAI
Hands-on with Large Language Models
Deep Dive into LLMs
Building Applications with LLMs
Training LLMs
Live Guided Project 1 - Automated Data Insights Generator
Live Guided Project 2 - Financial Bot with LLMs
GenAI for Images
Live Guided Project -3 - Linkedin Headshot Generator App
Live Guided Project 4 - Call Center Conversational Audio Bot with GenAI
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

Python Fundamentals Crash Course
Python For GenAI
Evolution of GenAI
Hands-on with Large Language Models
Deep Dive into LLMs
Building Applications with LLMs
Training LLMs
Live Guided Project 1 - Automated Data Insights Generator
Live Guided Project 2 - Financial Bot with LLMs
GenAI for Images
Live Guided Project -3 - Linkedin Headshot Generator App
Live Guided Project 4 - Call Center Conversational Audio Bot
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

Capstone Project for Week 2: ShopTalk – Al-Powered Shopping Assistant

  • Build a smart assistant that, given a user query, can find the most relevant
    products from text and provide a natural language-based response.

Capstone Project for Week 1: Movie Data Insights

  • Build a system that delivers high-quality textual analysis on the movie dataset by
    enabling users to generate insights through natural language inputs.

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.

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

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.
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.
There are no in-person classes in Interview Kickstart’s GenAI programs—it is fully online and designed keeping working professionals in mind.
You will need to put in around 8 to 12 hours each week for this course.
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.
Yes. You will be able to access all class recordings even after you complete the program.
 
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

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