www.interviewkickstart.com Open in urlscan Pro
52.17.119.105  Public Scan

Submitted URL: https://d1khqf04.na1.hubspotlinks.com/Ctc/GF*113/d1KhQf04/VVrR618xLts4W7hRWwT1SlY0zW24t7JB5j5nzsN8wLL663hKBbW7Y8-PT6lZ3kwW3pWzV14bLjJW...
Effective URL: https://www.interviewkickstart.com/courses/advanced-genai-program?utm_campaign=PA%20-%20Others&utm_medium=email&_hsenc=p2ANqtz-_boi...
Submission: On July 30 via api from US — Scanned from DE

Form analysis 6 forms found in the DOM

Name: wf-form-Webinar-Registration-Part-1GET

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          class="w-form-formradioinput select-webinar-radio-btn w-radio-input" data-webinar_lead_type="SWITCH_UP"><span class="w-form-label" for="start-date-2">Friday, 02 August 2024 | 02:30 AM</span></label><label
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          class="w-form-formradioinput select-webinar-radio-btn w-radio-input" data-webinar_lead_type="SWITCH_UP"><span class="w-form-label" for="start-date-5">Tuesday, 06 August 2024 | 01:30 AM</span></label></div>
    <div class="timezone-disclaimer">*All webinar slots are in the <span class="var_localtimezone">US/Pacific</span> timezone</div>
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Name: wf-form-Coding-Experience-ExperimentGET

<form id="wf-form-Coding-Experience-Experiment" name="wf-form-Coding-Experience-Experiment" data-name="Coding Experience Experiment" method="get" class="coding-experience-experiment" data-wf-page-id="65eecc52b8abfbdcebaee494"
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Name: wf-form-Exit-Intent-Free-Course-OfferingGET

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    <h2 class="bc-popup-title t-green-2 text-green tale-green _4"><strong>FREE course on 'Sorting Algorithms'</strong> by <span class="text-span-2"><strong>Omkar Deshpande <em class="omkar-designation">(Stanford PhD, Head of Curriculum,
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Name: wf-form-Download-Course-Brochure---Organic-LPsGET

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  <div class="form__step2">
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HOW TO NAIL YOUR NEXT TECHNICAL INTERVIEW

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Wednesday, 31 July 2024 | 02:30 AMThursday, 01 August 2024 | 01:30 AMFriday, 02
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YOU MAY BE MISSING OUT ON A 66.5% SALARY HIKE*

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ELEVATE YOUR MACHINE LEARNING CAREER WITH ADVANCED GENERATIVE AI

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

 * Learn the basics + newer models and advanced concepts
 * Get practical skills to deploy and inference LLMs
 * Capstone Project with FAANG+ instructors for real-world application

Front-end Engineers!
Get interview-ready with lessons from FAANG+ engineers
Master core Front-end interview concepts
Sharpen your coding and system design interview skills
Front End Developer


Course Overview
Start Learning
Get all the information about the course and pricing in our live webinar with
Q&A.

Download Course Brochure
Almost full
Next Batch
12th June, 2022
Location
Live & online
Duration
4 months (apx. 10 hours/week)
Register for Pre-enrolment Session
Learn more about the course & pricing
It's Free


NEXT WEBINAR STARTS IN

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Libraries and ModelsCourse HighlightsEligibility
CriteriaInstructorsTestimonialsCurriculum
Libraries and ModelsCourse HighlightsEligibility
CriteriaInstructorsTestimonialsCurriculum


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.


Best suited for
ML Engineers
Applied Scientists
Data Scientists


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
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NEXT WEBINAR STARTS IN

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Course Highlights
360’ interview preparation
Build successful interview strategies and practice answering the toughest
security engineering interview questions
Extensive coverage of interview relevant Security Engineering topics such as
Applied Cryptography, Application, Network and Cloud Security and more  
Get mentored by our highly experienced instructors working as active hiring
managers and at FAANG+ companies and know exactly what it takes to ace tech and
managerial interviews.


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

Machine Learning Engineers, Applied Scientists, Data Scientists, who are looking
to master LLMs and Generative AI
Professionals looking to integrate and scale LLM-driven applications, features,
or products


PREREQUISITES

Knowledge of Python or another scripting language
Prior experience in basic/classical ML modeling/prototyping
Beginner-level comfort with Deep Learning concepts 



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.


AHSAN ALI

Applied Scientist

Learn more

Dipan has valuable work experience of over 10 years with companies such as
SpaceX.
As an operations-focused engineer, he has worked with cross-functional teams
such as design, test, production, and supply chain to accomplish mission
objectives.As an operations-focused engineer, he has worked with
cross-functional teams such as design, test, production, and supply chain to
accomplish mission objectives.


RANDY COGILL

Senior Research Scientist

Learn more

Dipan has valuable work experience of over 10 years with companies such as
SpaceX.
As an operations-focused engineer, he has worked with cross-functional teams
such as design, test, production, and supply chain to accomplish mission
objectives.As an operations-focused engineer, he has worked with
cross-functional teams such as design, test, production, and supply chain to
accomplish mission objectives.


JAY PILLAI

Engineering Leader - Generative AI
FAANG+ Leader
Learn more

Dipan has valuable work experience of over 10 years with companies such as
SpaceX.
As an operations-focused engineer, he has worked with cross-functional teams
such as design, test, production, and supply chain to accomplish mission
objectives.As an operations-focused engineer, he has worked with
cross-functional teams such as design, test, production, and supply chain to
accomplish mission objectives.




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.


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.


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.



STUDENTS WHO CHOSE TO UPLEVEL WITH IK GOT PLACED AT

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

Akshay Lodha
Data Engineering & Analytics

Anju Mercian
Data Engineering Consultant

Alokkumar Roy
Data Engineer


20,000+
Tech professionals trained
$1.2M
Highest offer received by an IK alum
53%
Average salary hike received by alums



WHAT YOU’LL LEARN: THE FULL ADVANCED GENAI CURRICULUM

Deep Learning Primer
Session 1

1


DEEP LEARNING BASICS

2


TOKENIZATION, EMBEDDINGS, SEQUENCE

3


NEURAL ARCHITECTURES: TRANSFORMERS, BERT

Gen AI: Background
Session 2

1


TRANSFORMERS

2


SEQ2SEQ MODELS AND LLMS

3


METRICS

Deep-Dive into LLMs
Session 3

1


INTRODUCTION TO LLMS

2


PRE-TRAINING AND SELF-SUPERVISION


3


SCALING LAWS


LLMs in Production
Session 4

1


CHALLENGES IN MULTI-TASK LEARNING

2


OPTIMIZING LLMS IN PRODUCTION

Diffusion Models
Session 5

1


DIFFUSION PROCESS (DDPM) AND STABLE DIFFUSION

2


FINE-TUNING DIFFUSION MODELS


3


LATENT DIFFUSION


3


VISUAL TRANSFORMERS - KEY PAPERS & MODELS


3


VISUAL TRANSFORMERS AND APPLICATIONS


Multimodal Models
Session 6

1


THEORY AND EXAMPLES OF MULTIMODAL MODELS

2


MULTIMODAL LEARNING PROCESS


Reinforcement Learning from Human Feedback
Session 7

1


RLHF AND CURRENT ADVANCEMENTS

2


RL-BASED FRAMEWORKS FOR LLMS


Capstone Project
Session 8

1


CREATE A LLM-BASED APPLICATION WITH AWS SUPPORT FOR DEPLOYMENT AND INFERENCING

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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
Contact for Pricing



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
Try 7-Day Email Course for FREE


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Already preparing or want a sneak peek? Try the FE Interview Prep 7-day email
course


FAQS ON ADVANCED GENAI PROGRAM

1
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.

2
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.
3
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!
4
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.

5
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.
6
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.
7
What models and frameworks does the Advanced GenAI course cover?

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.
8
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.
9
Will I receive a certificate after I complete the Advanced Generative AI course?

Yes, the Advanced GenAI course includes a certificate of completion.
10
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.
11
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.
12
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.
13
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.
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