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
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
Diffusion models such as DDPM and Stable Diffusion and many more.
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 - Generative AI
FAANG+ Leader
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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
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