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How to Nail your next Technical Interview
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Head of Career Skills Development & Coaching
*Based on past data of successful IK students
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Applied GenAI: Transform Your Career Path with AI
Unlock the power of GenAI to innovate in your industry and enhance your professional journey.
- Become GenAI-fluent: Learn how you can apply GenAI in your current role
- Deep Dive into GenAI tech – neural networks, LLMs, diffusion models
- Real-World Applications: Build a GenAI application with FAANG+ instructors
Register for Pre-enrolment Session
Learn about the curriculum, pricing & special offers
It's Free
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What Tools & Technologies are Covered in this Course?
Hugging Face Transformers
Library offering 1,000s of pre-trained models, for easy implementation of NLP features
Langchain
Popular framework for building LLM-powered AI applications
Stable Diffusion
A model for generating high-quality images from textual descriptions
PyTorch
Open-source ML library, known for its flexibility and dynamic computational graph
Python & libraries
Primary programming language for AI and ML projects
Google Colab
Seamless integrations with data science and ML libraries
Why choose this course?
(Program duration: 12 weeks)
Train With FAANG+ GenAI Experts
Learn from seasoned instructors with deep industry and academic experience, and get insights into the latest AI trends and applications.
Real-world Project: Build a GenAI app
Train and fine-tune a GenAI application for real-world use. Gain skills demanded by top tech companies for scaling AI applications and features.
Industry-Relevant Curriculum
Taught by experts actively working in the field of GenAI. Learn the most current and impactful practices to creatively apply them in your workplace.
Designed for all Tech Professionals
Tailored to fit the needs of tech professionals across industries, who are looking to understand Generative AI.
Future-Proof Your Career with GenAI
Make decisions and build a strong generative AI base - without worrying about the last 20 years of AI background. We got it all covered!
Understand The Latest GenAI Research
Deep dive into state-of-the-art AI Tech such as LLMs and Diffusion Models, and stay informed on the most recent advancements in Generative AI
Register for webinar
It's Free
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Eligibility Criteria
This program is best suited for:
Technical Professionals from any industry seeking to understand Generative AI
Creators and innovators aiming to integrate AI insights into their work for enhanced innovation
This program is for anyone in the tech field with a strong inclination to learn Generative AI!
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
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Randy Cogill
Senior Research Scientist
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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.
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
What You’ll Learn: The Full Applied GenAI Curriculum
Python Crash Course I
Week 1
1
Python fundamentals
2
Experience writing simple Python programs
Python Crash Course II
Week 2
1
Jupyter Notebooks and Google Colab
2
Python Libraries for Machine Learning
Hands-on with Large Language Models
Week 3
1
Accessing popular foundation models via their APIs
2
Working with open-source models via Huggingface Transformers
3
Working with Stable Diffusion, LoRA
Gen AI Background
Week 4
1
Overview of Generative AI
2
Applications of Generative AI
3
Recent History of Generative AI
4
Methods for Evaluating Generative AI Models
5
Ethical Considerations in Generative AI
Neural Networks Background
Week 5
1
Architecture of feedforward neural networks
2
Activation functions
3
Training neural networks
4
Recurrent Neural Networks (RNNs)
5
Convolutional Neural Networks (CNNs)
Deep Dive into LLMs
Week 6
1
Probabilistic language models
2
The Transformer Architecture
3
Scaling Laws
Building Applications with LLMs
Week 7
1
Retrieval-augmented generation (RAG)
2
Agents
3
AgLangChain as a toolkit for LLM applicationsents
Training LLMs
Week 8
1
Pretraining LLMs
2
Fine-tuning LLMs and LoRA
3
Instruction Tuning
4
Learning from Preferences (RLHF and DPO)
GenAI for Images
Week 9
1
Diffusion Process (DDPM) and Stable Diffusion
2
Latent Diffusion
3
Fine-tuning diffusion models and LoRA
4
Visual Transformers and applications
GenAI for Audio
Week 10
1
Overview of Text-to-Speech Synthesis: Waveform Generation techniques
2
Creating New Music and Sounds with WaveNet and GANs
3
Voice Models and Architecture: Vocoders, Tacotron, etc.
4
Integrating Voice with LLMs
Capstone Project
Week 11 & 12
1
Create LLM-based applications
This curriculum is constantly updated, based on the latest developments in the field of Generative AI. Therefore, it is subject to change.
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Built for working professionals
This is how we structure and organize your journey. Our learners spend 10-12 hours each week on this course.
How to Enroll for the Applied GenAI Program
Learn more about Interview Kickstart and the Applied GenAI Program by joining the free pre-enrollment webinar.
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FAQs on Applied GenAI
1
How do I enroll in the program?
2
Why is learning Generative AI important for tech professionals now?
3
I am not looking to switch my career to AI. Why should I enroll in this Applied GenAI Program?
4
Will the Applied GenAI Program help me get better jobs?
5
Is the Applied GenAI Program self-paced or live?
6
Is this GenAI program virtual or are there in-person classes?
7
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 Applied GenAI Program?
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Will I have access to the modules in Applied GenAI after I complete the program?
10
Will I have to spend extra on anything while doing this program?
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