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

It's Free

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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.

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

Deep Learning Basics

Tokenization, Embeddings, Sequence

Neural Architectures: Transformers, BERT

Gen AI: Background

Transformers

Seq2Seq Models and LLMs

Metrics

Deep-Dive into LLMs

Introduction to LLMs

Pre-training and Self-Supervision

Scaling Laws

LLMs in Production

Challenges in Multi-Task Learning

Optimizing LLMs in production

Diffusion Models

Diffusion Process (DDPM) and Stable Diffusion

Fine-tuning Diffusion Models

Latent Diffusion

Visual Transformers - Key papers & models

Visual Transformers and applications

Multimodal Models

Theory and examples of multimodal models

Multimodal Learning Process

Reinforcement Learning from Human Feedback

RLHF and current advancements

RL-based Frameworks for LLMs

Capstone Project

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

It's Free

Next webinar starts in

DAYS

MINS

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.

Ahsan Ali

Applied Scientist

Randy Cogill

Senior Research Scientist

Jay Pillai

Engineering Leader - GenAI

FAANG+ Leader

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.

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

20,000+

Tech professionals trained

$1.2M

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.

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.

Elevate your Machine Learning Career with Advanced Generative AI

Next webinar starts in

Why choose this course?

Prepare for GenAI’s Future

Design and Implement LLMs

Capstone Project

Evaluate Generative Models

Diverse AI Applications

Engage with the Latest Research

Next webinar starts in

Course Highlights: The Future of GenAI

(Program duration: 8 to 9 weeks)

Deep Understanding of Current AI Technologies

Prepare for the Future of AI

Ethical Understanding and Risk Mitigation

Capstone Project

Career Advancement and Versatility

Diverse AI Applications

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 Basics

Tokenization, Embeddings, Sequence

Neural Architectures: Transformers, BERT

Transformers

Seq2Seq Models and LLMs

Metrics

Introduction to LLMs

Pre-training and Self-Supervision

Scaling Laws

Challenges in Multi-Task Learning

Optimizing LLMs in production

Diffusion Process (DDPM) and Stable Diffusion

Fine-tuning Diffusion Models

Latent Diffusion

Visual Transformers - Key papers & models

Visual Transformers and applications

Theory and examples of multimodal models

Multimodal Learning Process

RLHF and current advancements

RL-based Frameworks for LLMs

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

Next webinar starts in

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

Ahsan Ali

Randy Cogill

Jay Pillai

FAANG+ Leader

The IK Experience: What Our Alumni Are Saying

Mike Kane

Davide Testuggine

Siva Karthik Gade

Humberto Gonzales Granda

Students who chose to uplevel with IK got placed at

20,000+

Tech professionals trained

$1.2M

Highest offer received by an IK alum

66.5%

Average salary hike received by alums

A typical week at Interview Kickstart

Sun

Mon-Wed

Thu

Every day

How to Enroll for the Advanced GenAI Program

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