Machine Learning Crash Course
Uplevel in your career and land your dream job with this course designed and taught by FAANG+ AI/ML Engineers
Instructors, Coaches & Interviewers from Top Companies
Students
Avg. salary hike for alums who upleveled
Tools you’ll learn
Detailed Curriculum
Programming with Python
Introduction to Machine Learning
Classical Machine Learning
Introduction to Deep Learning
Applied Generative AI
LLMs and Capstone Project
1. Smart Retail Analytics: Customer Segmentation and Personalized Recommendations
2. Automated News Analysis and Content Generation
3. Conversational AI for Customer Support with LangChain and RAG
Interview Prep
The curriculum is constantly being updated as per industry developments and is subject to change.
Add-on Specializations
You can add any of the below-advanced learning modules to your course to dive deeper into ML/Data Science and increase your chances of landing a lucrative job role.Â
Advanced Natural Language Processing
Advanced Computer Vision
Data Visualization & Storytelling
Big Data with Apache Spark
Capstone Projects
ReviewSum AI – Review Analysis Tool
- Elevate business insights with ReviewSum AI, a tool inspired by Amazon's advanced review summarization capabilities. Utilize NLP, including Generative AI and LLMs, to transform voluminous Amazon reviews into concise, insightful summaries. This automated tool helps businesses enhance product perception, offer proactive customer service, and conduct effective market research. It turns lengthy customer feedback into actionable data, unlocking new growth and success opportunities.
Playlist Pulse – Music Recommendation System
- Develop Playlist Pulse, a sophisticated project using advanced ML/DL algorithms to classify music tracks by mood and genre, akin to Spotify’s music recommendation engine. This system recommends subsequent tracks and leverages Power BI to create an interactive dashboard that collects and analyzes user feedback, offering detailed insights into music preferences.
Why beginners should Choose our Machine Learning Crash Course?
Taught by FAANG+ ML Engineers
360° course designed and taught by FAANG+ experts to help you become an ML Engineer
Learn Machine Learning and GenAI
Learn the basics of ML, practical GenAI, and their application in real-world use cases
Practical Learning with Capstone Projects
Real-world machine learning projects that simulate AI/ML challenges
Interview Prep Modules
Customize your learning with advanced specializations in critical areas, positioning you for specialized roles in the industry
Mock Interviews with FAANG+ ML Engineers
Live interview practice in real-life simulated environments with FAANG and top-tier interviewers
Career Skills Development
Resume building, LinkedIn profile optimization, personal branding, and live behavioral workshops
Who Is Eligible for this crash course?
Junior-to-senior software professionals looking to switch careers to AI/ML
Junior-to-senior Tech Managers without experience in coding but looking to learn ML
Junior-to-mid level Semi/Tech Professionals
Junior professionals from non-STEM/non-coding backgrounds with a high interest in learning ML
This program is not ideal for non-technical individuals with more than 7 years of experience outside of tech.
 + Instructors to Train You in Live Classes
Shruti Goli
Ahsan Ali
Randy Cogill
Jay Pillai
The IKÂ 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
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
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.
Mike Kane
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
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.
How to Enroll for Interview Kickstart’s Machine Learning Crash Course?
Learn more about Interview Kickstart and the ML Course by joining the free pre-enrollment webinar.
FAQ
How to Nail your next Technical Interview
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Nick Camilleri
How many years of coding experience do you have?