Advanced Generative AI for ML Engineers and Data Scientists

And learn all you need to know about the course

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Course Highlights

Suitable for: Current or former AI/ML and Data Science professionals who are involved in or aspiring to be part of Generative AI projects, or are looking to expand their skillset into the rapidly growing field of generative AI and LLMs

Duration: 10 weeks

Course hours:

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

Projects: 2 Capstone Projects with expert guidance

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

Curriculum coverage: Deep Learning, Neural Network Architectures, LSTM, Transformers, RAG, Langchain, LLM Agents, LoRA, Distillation, GANs, Diffusion Models, CLIP, Multimodality, Vision Transformers, Reinforcement Learning, Deep Q-Learning, Actor-Critic Method, LLM Alignment with RLHF and more

EdgeUp: Additional 12-week FAANG+ interview preparation for Machine Learning and Data Science roles

Careers transformed

0 K+

Average package for alumni

₹ 0 LPA

Average ROI on course price

0 x

20+ Tools & Tech You’ll Learn

Transformers

Generative Adversarial Networks (GANs)

Variational Autoencoders (VAEs)

Stable Diffusion

CLIP

Dreambooth

U-Net

Reinforcement Learning (RL)

Deep Q-Learning

Proximal Policy Optimization (PPO)

Retrieval-Augmented Generation (RAG)

LangChain

LLM Agents

LoRA

Knowledge Distillation

Policy Gradient Methods

KV Caching

Autoencoders

Multi-Armed Bandits

Actor-Critic Algorithm

Sampling Strategies (Top-K, Top-p)

ImageBind

Why Choose the Advanced Generative AI EdgeUp Program for ML/Data Science

Advanced AI Skills for ML/DS Professionals

Learn advanced AI/ML skills such as deep learning, neural networks, transformers, LLMs, GenAI for image & audio, RLHF, and more.

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 2 capstone projects and regular assignments.

Career Support

Prep for FAANG+ ML Engineer and Data Science interviews and get support such as resume optimization, behavioral coaching, and placement assistance.

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Detailed Curriculum of Our Advanced Generative AI EdgeUp Program for ML/Data Science

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

ML Engineer Interview Prep

Data Structure and Algorithms

Software System Design

Supervised Learning - Rank Relevant Search Results, Design a YouTube Video Recommendation System

Unsupervised Learning - Detect Fraud Transactions for Airbnb

Deep Learning - Detect and Process Objects in a Scene, Build a Tech Support Chatbot

Career Sessions: Mock Interviews, Feedback Sessions

Support Period

Data Scientist Interview Prep

Data Structure and Algorithms

SQL Programming

Probability, Distributions

Data Science Design: A/B testing, Regression, MLE, EM, and MAP

Supervised & Unsupervised Machine Learning

Deep Learning & Time Series Analysis

Career Sessions: Mock Interviews, Feedback Sessions

Support Period

Capstone 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.

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.

Rishabh Misra

Lead ML Engineer & Researcher, Ex-Google

Behnoosh Parsa

Senior Applied Scientist - GenAI

Ujjwal Das Gupta

Senior ML Engineer, Ex-Google, Ex-Apple

Register Now!

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.

Abhishek Singh

Senior Data Analyst, Jeavio

IK is a GOD-Send to me. If you are looking to upskill or transition in your career, IK is the place to be. I joined Data Science Switchup in November-23 and I am loving the 360 degree experience which IK provides. The instructors are professionals who are currently working in the tier-1 companies so the classes have loads of real-life snippets of their experience which adds true value to students like us. The mock sessions and technical sessions helped me immensely to understand the topic at a deeper level. The Ops Team & Success Coaches are superstars who act like a true friend when you need any sort of assistance.

Jagannath Balachandran

Senior SDET, e6data

I am currently doing AI/ML course and I must say the experience has been very good. The tutors are good, they bring in lot of practical industry experience, they have good content and the mini projects are very well curated. IK is very receptive to feedback and prompt in taking course corrections if any, their Ops team is very efficient and responsive. Overall it's been a great experience so far and I look forward to the rest of the course.

How to Enroll for Advanced Generative AI EdgeUp Program for ML/Data Science

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 adding advanced Generative AI and LLM skills will help you.

Step 3: Complete Your Enrollment

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

And learn all you need to know about the course

It's Free

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FAQs

What is the Interview Kickstart Advanced Generative AI EdgeUp Program for ML/Data Science?

Interview Kickstart’s Advanced Generative AI EdgeUp Program for ML/Data Science is a unique course designed to equip AI/ML professionals with advanced Generative AI and LLM skills and prepare you for interviews for more rewarding roles at top tech companies.

How does the EdgeUp program work?

EdgeUp is a combination of Advanced Generative AI and our industry-acclaimed interview prep programs for Machine Learning Engineers and Data Scientists. You will first spend 10 weeks training on Generative AI and LLMs, and another 12 weeks on interview preparation for ML and DS roles.

Why is Interview Kickstart’s Advanced Generative AI Course good for my AI/ML career?

The field of machine learning is moving ahead of Classical ML and moving toward Generative AI. Our comprehensive curriculum covers the latest advancements in large language models, diffusion models, reinforcement learning, multimodal systems, and visual transformers. This ensures you will gain not just current best practices, but the skills to tackle emerging GenAI technologies. The capstone project, where you’ll deploy and manage a GenAI application on AWS, will provide hands-on experience to prepare you for real-world GenAI roles. This is an intensive professional upskilling program taught by industry experts, designed to broaden and deepen your ML expertise beyond basic courses.

Why should I take the Advanced Generative AI Program when I am already a Machine Learning Engineer/Data Scientist?

Here’s why Generative AI is highly relevant for Data Scientists and Machine Learning Engineers today:

It equips you with cutting-edge skills to develop and deploy advanced AI models.
It enhances your ability to solve complex problems and innovate within your field.
It prepares you to work on state-of-the-art AI projects and contribute to the development of new AI technologies.
It provides you with the tools to improve model performance and efficiency in various applications.
It makes you more competitive in the job market, where advanced AI skills are increasingly in demand.

In addition, if you look at the industry trends:

55% of organizations 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)
20% ML and DS roles are now asking for advanced GenAI and LLMs skills (Interview Kickstart internal research)

What should I be worried about as a Machine Learning Engineer professional about Gen AI advancements?

Not staying current with Generative AI advancements can hinder your skill relevance, productivity, innovation, and overall success as a machine learning engineer. Embracing these advancements is crucial to remain competitive, deliver top-tier solutions, and excel in your role. Here’s a detailed list of why your lack of latest knowledge might hurt your chances of finding the best roles in the industry:

Skill obsolescence – Staying current with latest GenAI techniques is essential to remain competitive.
Lack of innovation – Failing to leverage GenAI advancements can make your work seem outdated.
Reduced productivity – AI-driven workflows can automate model development, boosting efficiency.
Subpar model performance – GenAI improves accuracy, efficiency, and robustness of models.
Higher computational costs – Without adopting GenAI optimizations, your models may be more resource-intensive.
Security and ethical risks – GenAI tools help identify and mitigate biases and vulnerabilities.
Inferior decision-making – AI-driven insights enhance model development and deployment decisions.
Longer development cycles – GenAI can accelerate model development and deployment timelines.
Difficulty in scalability – AI tools enable efficient model scaling to handle large datasets.
Competitive disadvantage – Companies leveraging GenAI gain a significant edge over those who don’t.

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

Yes. With Generative AI skillset requirements on the rise in 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.

What is the eligibility criteria for the Advanced Generative AI Program when I am already a Machine Learning Engineer/Data Scientist?

This program is suitable for AI/ML and Data Science professionals who are involved in or aspiring to be part of Generative AI projects, or are looking to expand their skillset into the rapidly growing field of Generative AI and LLMs, such as:

Current or Former ML Engineers and Data Scientists
Software Engineers working on ML Models
Other relevant role-responsibility dynamics such as SWE in ML, Research Engineer, Applied Scientist, Data ML Engineer, Statistician–Software Engineer, etc.

Are there any prerequisites to doing this course?

Learners should have a hands-on understanding of machine learning, Deep Learning, programming (preferably in Python), and basic knowledge of cloud platforms. Familiarity with data management and DevOps practices is beneficial but not mandatory.

Can I do my own projects in the course?

Yes, the course includes a capstone project phase where you can select and propose your own project within the scope of advanced Generative AI and ML engineering. This allows you to apply the knowledge and skills you’ve acquired to a real-world problem or innovative idea of your choice, with guidance and support from the course instructors.

Are the modules self-paced or live?

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.

How much time would I need to put in each week for the AI for PMs 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.

Advanced Generative AI for ML Engineers and Data Scientists

It's Free

Course Highlights

20+ Tools & Tech You’ll Learn

Transformers

Generative Adversarial Networks (GANs)

Variational Autoencoders (VAEs)

Stable Diffusion

CLIP

Dreambooth

U-Net

Reinforcement Learning (RL)

Deep Q-Learning

Proximal Policy Optimization (PPO)

Retrieval-Augmented Generation (RAG)

LangChain

LLM Agents

LoRA

Knowledge Distillation

Policy Gradient Methods

KV Caching

Autoencoders

Multi-Armed Bandits

Actor-Critic Algorithm

Sampling Strategies (Top-K, Top-p)

ImageBind

Why Choose the Advanced Generative AI EdgeUp Program for ML/Data Science

Advanced AI Skills for ML/DS Professionals

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 Advanced Generative AI EdgeUp Program for ML/Data Science

Capstone Projects

Capstone Projects

AI-Powered Resume Coach

Conversational Shopping Assistant

Projects are subject to change as per industry inputs.

+ Instructors to Train You

Rishabh Misra

Behnoosh Parsa

Ujjwal Das Gupta

Register Now!

It's Free

The IK Experience: What Our Alumni Are Saying

Venkatesh Babu

Amit Vaswani

Abhishek Singh

Jagannath Balachandran

How to Enroll for Advanced Generative AI EdgeUp Program for ML/Data Science

It's Free

Transform Your Tech Career with AI Excellence

Transform Your Tech Career with AI Excellence

Transform your tech career