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How to Nail your next Technical Interview

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You may be missing out on a 66.5% salary hike*

Nick Camilleri

Head of Career Skills Development & Coaching
*Based on past data of successful IK students
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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
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What Libraries and Models Does This Course Cover?

Denoising Diffusion Implicit Models (DDIMs)
Alpaca model
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Diffusion models such as DDPM and Stable Diffusion and many more.
Best suited for
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ML Engineers
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Applied Scientists
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Data Scientists

Why choose this course?

Comprehensive Curriculum

Prepare for GenAI’s Future

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

Design and Implement LLMs

Get practical skills for LLM such as supervised fine-tuning, prompt engineering, instruction fine-tuning, and RLHF
Plenty of 1 x 1 Help

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.
Career Skills Development

Evaluate Generative Models

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

Diverse AI Applications

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

Engage with the Latest Research

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

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Course Highlights
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360’ interview preparation
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Build successful interview strategies and practice answering the toughest security engineering interview questions
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Extensive coverage of interview relevant Security Engineering topics such as Applied Cryptography, Application, Network and Cloud Security and more  
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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)
Comprehensive Curriculum

Deep Understanding of Current AI Technologies 

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

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.
Plenty of 1 x 1 Help

Ethical Understanding and Risk Mitigation

Special module on ethical AI development and risk mitigation
Career Skills Development

Capstone Project

Hands-on Capstone Project on how to deploy and inference projects on AWS
Plenty of 1 x 1 Help

Career Advancement and Versatility

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

Diverse AI Applications

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

Eligibility Criteria

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

Prerequisites

Comprehensive Curriculum
Knowledge of Python or another scripting language
Rigorous Mock Interviews
Prior experience in basic/classical ML modeling/prototyping
Plenty of 1 x 1 Help
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.
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Ahsan Ali

Applied Scientist
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Randy Cogill

Senior Research Scientist
instructor

Jay Pillai

Engineering Leader - Generative AI
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.

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 Grand

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:
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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.
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Students who chose to uplevel with IK got placed at

engineering
Siva Karthik Gade
SDE, Machine Learning
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engineering
Sai Marapa Reddy
SWE, Machine Learning
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enginnering
Safir Merchant
SWE, Machine Learning
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Jameson Merkow
Principal AI Engineer
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Sayan Banerjee
Data Scientist II
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Manika Kapoor
Senior Deep Learning Scientist
engg-cmpny
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Mike Kane
Lead Data Engineer, Analytics
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Akshay Lodha
Data Engineering & Analytics
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Anju Mercian
Data Engineering Consultant
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Alokkumar Roy
Data Engineer
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13,500+
Tech professionals trained
$1.267M
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
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Session 1
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Deep Learning Basics

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Tokenization, Embeddings, Sequence

3

Neural Architectures: Transformers, BERT

Gen AI: Background
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Session 2
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Transformers

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Seq2Seq Models and LLMs

3

Metrics

Deep-Dive into LLMs
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Session 3
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Introduction to LLMs

2

Pre-training and Self-Supervision

3

Scaling Laws

LLMs in Production
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Session 4
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Challenges in Multi-Task Learning

2

Optimizing LLMs in production

Diffusion Models
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Session 5
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Diffusion Process (DDPM) and Stable Diffusion

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Fine-tuning Diffusion Models

3

Latent Diffusion

3

Visual Transformers - Key papers & models

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Visual Transformers and applications

Multimodal Models
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Session 6
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Theory and examples of multimodal models

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Multimodal Learning Process

Reinforcement Learning from Human Feedback
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Session 7
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RLHF and current advancements

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RL-based Frameworks for LLMs

Capstone Project
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Session 8
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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.

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

FAQs on Advanced GenAI Program

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How do I enroll in the program?
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Why should I take the Advanced Generative AI Program?
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Is the Advanced Generative AI Program self-paced or live?
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Is this GenAI program virtual or are there in-person classes?
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How much time would I need to put in each week for this GenAI program?
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What are the prerequisites for this Advanced Generative AI Program?
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Why is learning Generative AI in-depth important now?
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Will the Advanced Generative AI Program help me get better jobs?
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Will I have access to the modules in Advanced Generative AI after I complete the program?
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What kinds of projects will I work on in this program?
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Does this program reflect the latest technology developments in Generative AI?
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Will I have to spend extra on anything while doing this program?
Already preparing or want a sneak peek? Try the FE Interview Prep 7-day email course
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Course Brochure

Get all the details about the course & pricing.

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