Elevate your Machine Learning Career with Advanced Generative AI

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

Register for Pre-enrolment Webinar

Learn more about the course & pricing

It's Free

Next webinar starts in

00

DAYS

:

00

HR

:

00

MINS

:

00

SEC

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

Register for webinar

It's Free

Next webinar starts in

00

DAYS

:

00

HR

:

00

MINS

:

00

SEC

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.

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 Primer

1

Deep Learning Basics

2

Tokenization, Embeddings, Sequence

3

Neural Architectures: Transformers, BERT

Gen AI: Background

1

Transformers

2

Seq2Seq Models and LLMs

3

Metrics

Deep-Dive into LLMs

1

Introduction to LLMs

2

Pre-training and Self-Supervision

3

Scaling Laws

LLMs in Production

1

Challenges in Multi-Task Learning

2

Optimizing LLMs in production

Diffusion Models

1

Diffusion Process (DDPM) and Stable Diffusion

2

Fine-tuning Diffusion Models

3

Latent Diffusion

4

Visual Transformers - Key papers & models

5

Visual Transformers and applications

Multimodal Models

1

Theory and examples of multimodal models

2

Multimodal Learning Process

Reinforcement Learning from Human Feedback

1

RLHF and current advancements

2

RL-based Frameworks for LLMs

Capstone Project

1

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

Register for webinar

It's Free

Next webinar starts in

00

DAYS

:

00

HR

:

00

MINS

:

00

SEC

Find out how to uplevel your career

Register for our Free Webinar

Next webinar starts in

00

DAYS

:

00

HR

:

00

MINS

:

00

SEC

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.

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.

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.

Students who chose to uplevel with IK got placed at

21,000+

Tech professionals trained

$1.28M

Highest offer received by an IK alum

66.5%

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.

Register for webinar

It's Free

Next webinar starts in

00

DAYS

:

00

HR

:

00

MINS

:

00

SEC

enroll-course

FAQs on Advanced GenAI 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.

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.

The Advanced Generative AI Program comprises of live classes and not recorded videos. You will, however, receive class recordings after each day’s session. 

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

You will need to put in around 8 to 10 hours each week for this course.

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. 

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.

Yes. You will be able to access all class recordings even after you complete the program.

The projects in the Interview Kickstart GenAI program will include fine-tuning LLMs, deploying them and scaling these to a bigger industry use cases along with multimodality aspects. The goal of these projects would be to stay in sync with the latest advancements in the field of generative AI and its in-depth application.

Absolutely. The program is designed to make you well versed in both current practices and upcoming systems in Generative AI. You will stay informed on the most recent advancements and research in Generative AI. You will also become a part of the vast community of ML and Data Science professionals in the industry.

No. 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.

Register for our webinar

How to Nail your next Technical Interview

Webinar Slot Blocked
Loading_icon
Loading...
1 Enter details
2 Select webinar slot
*Invalid Phone Number
By sharing your contact details, you agree to our privacy policy.

Select a Date

Time slots

Time Zone:

Almost there...
Share your details for a personalised FAANG career consultation!
Your preferred slot for consultation * Required
Get your Resume reviewed * Max size: 4MB
Only the top 2% make it—get your resume FAANG-ready!
Registration completed!
🗓️ Friday, 18th April, 6 PM
Your Webinar slot
Mornings, 8-10 AM
Our Program Advisor will call you at this time