Elevate your Machine Learning Career with Advanced Generative AI

Learn to scale with LLMs that drive the most advanced applications and features.

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Best suited for

Why choose this course?

Prepare for GenAI’s Future

Learn not just foundational concepts, but also prepare for tomorrow’s GenAI with newer models and advanced concepts

Design and Implement LLMs

Get practical skills for LLM such as supervised fine-tuning, prompt engineering, instruction fine-tuning, and RLHF

Capstone Project

Train and fine-tune GenAI models for real-world use. Gain skills demanded by top tech companies for scaling AI applications and features.

Evaluate Generative Models

Use metrics to assess model quality, understand outputs, and address biases.

Diverse AI Applications

Apply GenAI across text, image, and multimodal uses, including visual transformers

Engage with the Latest Research

Stay informed on the most recent advancements and research in Generative AI

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Course Highlights: The Future of GenAI

(Program duration: 8 to 9 weeks)

Deep Understanding of Current AI Technologies

Learn state-of-the-art AI technologies such as LLMs, Diffusion Models, and Reinforcement Learning in depth

Prepare for the Future of AI

Equip yourself to enter the future of AI and AI-related jobs with advanced concepts such as Multi-Modality and Visual Transformers.

Ethical Understanding and Risk Mitigation

Special module on ethical AI development and risk mitigation

Capstone Project

Hands-on Capstone Project on how to deploy and inference projects on AWS

Career Advancement and Versatility

Industry-focused practical learning, including Model Training, Deployment, and Optimization

Diverse AI Applications

Apply GenAI across text, image, and multimodal uses, including visual transformers.

Get your copy of the course brochure

Turbocharge Your Career with Gen AI

Full details of the curriculum
Hands-on Guided Projects and Capstone Projects
Career Support Services

Get your copy of the course brochure

Turbocharge Your Career with Gen AI

Full details of the curriculum
Hands-on Guided Projects and Capstone Projects
Career Support Services

Eligibility Criteria

Prerequisites

Knowledge of Python or another scripting language

Prior experience in basic/classical ML modeling/prototyping

Beginner-level comfort with Deep Learning concepts

What You’ll Learn: The Full Advanced GenAI Curriculum

Deep Learning Essentials

Deep Learning Basics

Tokenization, Embeddings, Sequence

Neural Architectures: Transformers, BERT

Exploring Neural Network Architectures

Transformers

Seq2Seq Models and LLMs

Metrics

GenAI Breakthrough

Introduction to LLMs

Pre-training and Self-Supervision

Scaling Laws

Mastering Large Language Models

Challenges in Multi-Task Learning

Optimizing LLMs in production

LLM Optimization

Diffusion Process (DDPM) and Stable Diffusion

Fine-tuning Diffusion Models

Latent Diffusion

Visual Transformers - Key papers & models

Visual Transformers and applications

Reinforcement Learning Essentials

Theory and examples of multimodal models

Multimodal Learning Process

Advanced Reinforcement Learning and RLHF

RLHF and current advancements

RL-based Frameworks for LLMs

Capstone Project: Building GenAI-Powered Real-World Solutions

Create a LLM-based application with AWS support for deployment and inferencing

It's Free

What Libraries and Models Does This Course Cover?

Denoising Diffusion Implicit Models (DDIMs)

Alpaca model

Langchain

Diffusion models such as DDPM and Stable Diffusion and many more.

Learn Generative AI with Our Advanced Course

Generative artificial intelligence (AI) is rapidly changing the way technology works. If you want to learn how to build and use powerful AI tools like chatbots, image creators, and even code generators, our Advanced Generative AI Course is an ideal choice. This course is designed for people who already have some experience in technology as a software engineer or data scientist, for instance, and want to develop their skillset and take on more responsibilities. Read More

Why Take Our Gen AI Course?

Our Generative AI Course goes beyond basic theory; it’s designed to give you practical, hands-on experience. You’ll learn how large AI models work, and you’ll gain the skills to build and improve your own AI systems. This genAI crash course is great for anyone who wants to get trained in generative AI, whether you’re hoping to land a better job, move up in your current role, or simply explore everything this exciting field has to offer. It’s perfect if you’re aiming for a generative AI certification that will make your resume stand out from the competition.

What Will You Learn on Our Generative AI Training Course?

In this Generative AI Online Course, you’ll cover a wide range of exciting topics, including:

How AI models such as ChatGPT are built and used
How to create and optimize AI models to carry out specific tasks
How to make AI safer and more ethical
How to use AI in your projects at work

This course is designed to be up to date with the latest AI technologies and trends, giving you the most relevant knowledge in the field from experts who already work in it.

Earn a Valuable Certification to Demonstrate Your New Skills and Knowledge

At the end of our genAI program, you’ll receive a certificate proving your ability to work with powerful AI tools and that you’re ready to take on exciting roles in the evolving and exciting arena of artificial intelligence. Having a gen AI certificate can make a real difference in your career. Many of our students have used their qualifications to land lucrative jobs at top tech companies like Google, Meta, Microsoft, and Amazon. Others have used their new knowledge to shift into AI-focused roles, earn promotions, or lead innovative projects within their current organizations. Some graduates have even gone on to build AI-powered apps, launch their own businesses, or lead research teams working on next-generation AI solutions. Whether your goal is to break into a new field, increase your earning potential, or simply gain an edge in a competitive job market, this certificate can open doors to new opportunities. It’s more than just a piece of paper; it’s proof that you’ve gained real, hands-on experience with advanced generative AI systems and that you’re ready to apply what you’ve learned in the workforce. Many of our students have given the GenAI course 5-star reviews like this one on Google; “This Advanced AI/Machine Learning Course Curriculum is an outstanding program that offers a perfect blend of theoretical knowledge and practical skills. Its comprehensive coverage, industry relevance, and focus on career preparation make it an excellent choice for anyone looking to excel in the field of AI and machine learning. It’s rare to find a course that so thoroughly prepares us for both the technical challenges and career aspects of the field. This curriculum truly deserves a 5-star rating and comes highly recommended for aspiring AI professionals like us.” Ready to learn? Enroll now and earn your Generative AI Certificate with Interview Kickstart. Also, feel free to check out our other courses, including our specialised machine learning course, general artificial intelligence course, or even applied Gen AI course, if that’s what you’re interested in. Read Less

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.

Ashish Desai

Head of Engineering

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

Jigyasa Grover

AI & Research Lead, Ex-Google

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.

Sujay Ghosh

Software Development Manager

Offer From:

“Interview Kickstart's program is wonderful. I found the classes as well as the materials provided by Interview Kickstart very helpful. In the mock interview sessions, I was able to clear my concerns on a 1-on-1 basis.”

Akshay Lodha

Data Engineer

Offer From:

"The way the instructors taught was awesome, the career coaching and the mock interview sections were also really helpful. Interview Kickstart helped me a lot in orienting myself and getting into the rhythm., and eventually transition from Goldman Sachs to Facebook."

Rupesh Dabbir

Data Engineer

Offer From:

Interview Kickstart (IK) provides you a solid platform to not only strengthen your algorithm and interview game, I've had the pleasure of meeting some of the best/brightest minds in the industry (Faculty and students included). It was a humble experience, to say the least.

Students who chose to uplevel with IK got placed at

Akshay Lodha

Data Engineering & Analytics

Anju Mercian

Data Engineering Consultant

Alokkumar Roy

Data Engineer

Siva Karthik Gade

SDE, Machine Learning

Sai Marapa Reddy

SWE, Machine Learning

Safir Merchant

SWE, Machine Learning

Jameson Merkow

Principal AI Engineer

Sayan Banerjee

Data Scientist II

Mike Kane

Lead Data Engineer, Analytics

25,000+

Tech professionals trained

$1.2M

Highest offer received by an IK alum

60 LPA

Average salary hike received by alums

A typical week at Interview Kickstart

This is how we make your journey structured and organized. Our learners spend 10-12 hours each week on this course.

Sun

Attend online live sessions

Attend 4-5 hour live sessions covering concepts & applications of module concepts

Each class covers a wide variety of approaches, fully hands-on with problems and frameworks to solve them to reflect latest advancements in the field

Live feedback from a Tier-1 tech instructor

Mon-Wed

Practice problems & case studies

Practice the concepts taught in live sessions to solve assignment questions

Live doubt-solving from FAANG+ instructors

Thu

1:1 access to instructors

2 hour review session covering assignment solution walkthrough on the current week's topics and other best practices

Every day

1:1 access to instructors

Personalized coaching from FAANG+ Instructors

Individualized and detailed attention to your questions

How to Enroll for the Advanced GenAI Program

Learn more about Interview Kickstart and the Advanced Generative Course by joining the free pre-enrollment webinar.

It's Free

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FAQs on Advanced GenAI Program

What to look for in the Advanced Generative AI course from Interview Kickstart?

The Advanced Generative AI course has been developed collaboratively with FAANG+ instructors who work on cutting-edge Generative AI technology in their respective organizations. ‍ This direct involvement enriches the curriculum and benefits participants to access real-world applications of concepts, case studies, and best practices. ‍ The course begins with building a solid foundation for Generative AI through comprehensive sessions on Deep Learning Primers and Neural Architectures. The history, development, and essential foundational concepts are covered further in the GenAI Background session. Once the core foundation is set, the learners deep dive into the latest Generative AI technology such as LLMs, Diffusion Models, Multimodal Models, Fine-tuning, Reinforcement Learning, and RLHF in a structured manner, thereby ensuring a holistic learning experience. ‍ As the landscape of Generative AI evolves, so does our course content, ensuring it remains pertinent and comprehensible to a broader audience. This course is rigorous, covering the length and breadth of Generative AI with the latest technology and key developments. Our capstone projects, co-created by FAANG+ instructors ensure you learn to create LLM-based applications and hands-on implementation with AWS access for deployment.

Who is this Advanced Generative AI course ideal for?

Interview Kickstart’s Advanced Generative AI course is ideal for ML Engineers, Applied Scientists, and Data Scientists already familiar with the core ML concepts and looking to dive into the world of Generative AI with LLMs and Diffusion Models.

Are there any required programming skills needed before enrolling in this Generative AI course?

The program is for Machine Learning Engineers and Data Scientist professionals with hands-on experience with Python and classical ML. Some foundational understanding of Deep Learning and Neural Networks would be a plus!

What sets Interview Kickstart’s Advanced Generative AI course apart from others?

Comprehensive and Practical: Interview Kickstart’s course on Advanced Generative AI is comprehensive and has a practical approach. We prioritize focus on learning real-world applications. Participants dive straight into learning the Deep Learning basics, Tokenization, Embeddings, and Sequence, then understand the Gen AI background and its models like Transformers and Seq2Seq. Furthermore, professionals also learn to optimize LLMs in production. In addition to this, they learn diffusion processes, fine-tuning diffusion models, visual transformers and applications, and Reinforcement Learning from Human Feedback. Instructor Pool: Our Advanced Gen AI 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. Future-ready: The course deepens into advanced concepts such as Multi-modality and Visual transformers to prepare you for the AI-driven economy. Capstone Projects: The Generative AI course includes a variety of comprehensive projects, each tailored to mirror real-world projects running across various industries. Co-created by FAANG instructors, the course ensures you are well-equipped to tackle any challenge that can come your way.

What are the key highlights of this curriculum?

Master GenAI Concepts: Learn foundational and advanced generative AI topics. Design and Implement LLMs: Gain practical skills in techniques like supervised fine-tuning, prompt engineering, instruction fine-tuning, and RLHF. Hands-on Training: Train and fine-tune generative models for real-world applications. Evaluate Models: Assess model quality, understand outputs, and address biases using metrics. Diverse Applications: Apply GenAI in text, image, and multimodal contexts, including visual transformers. Stay Updated: Keep informed on the latest research and advancements in generative AI. Industry Skills: Develop expertise sought by top tech companies for scaling AI applications.

Do I need an AWS account or specific RAM requirements for the capstone project?

No, you do not need an AWS account or any specific computational specs; we will take care of it.

Do I need an AWS account or specific RAM requirements for the capstone project?

Transformers, LLMs in Production : Pre-training and fine-tuning, DDPM & Stable Diffusion, Visual Transformers, Multimodal Models, Reinforcement Learning : Multi-arm Bandit and Deep Q-Learning, RL-Based Frameworks for LLMs.

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

Advanced Generative AI course positions ML Engineers, Data Scientists and Applied Scientists to lead projects involving deep neural architectures. ‍ Professionals learning advanced generative AI concepts are qualified to take on specialist roles in organizations focusing on advanced AI applications. ‍ By learning about the latest generative AI methods, they can tackle complex problems, such as creating realistic data augmentations.

Will I receive a certificate after I complete the Advanced Generative AI course?

Yes, the Advanced GenAI course includes a certificate of completion.

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

Advanced Generative AI includes many hands-on projects, each crafted to deepen your understanding of Generative AI. One of the Capstone projects is an AI-powered Resume Coach that offers personalized feedback and suggestions to improve resumes. The goal is to create an LLM-based tool that personalizes resume feedback. The project utilizes LLM tuning, prompt engineers, NLP for resume analysis, and feedback loop creation for continuous improvement.

How long does the Advanced Generative AI course take to complete?

Our Generative AI course is 10 weeks long. Our learners spend 10-12 hours each week in this course, which is fully online and designed for working professionals.

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

Yes, you can access all class recordings even after you complete the program.

How does the Advanced Generative AI course stay updated with the latest advancements in the field?

The Generative AI course stays current with the latest advancements in the field, thanks to the expertise of our instructors who are deeply immersed in the ongoing developments in artificial intelligence at their respective organizations.

These professionals continuously update their knowledge with the latest tools, technologies, and best practices.

Their firsthand experience directly informs the course curriculum, ensuring the individuals receive the most up-to-date and relevant content. Our instructors have been a part of Google DeepMind, Amazon, and Apple and specialize in LLM, Generative AI, and career development.