Machine Learning Course

Uplevel in your career and land your dream job with this course designed and taught by FAANG+ AI/ML Engineers

Register for webinar
Learn more about the course & pricing
It's Free

Next webinar starts in

00
Days
:
00
Hrs
:
00
Mins
:
00
Secs
500+

Instructors, Coaches & Interviewers from Top Companies

20,000+

Students

66.5%

Avg. salary hike for alums who upleveled

Tools you’ll learn

Detailed Curriculum

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. 

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.
Capstone Projects are subject to change as per industry inputs.

Why Choose Interview Kickstart Machine Learning 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 Course?

Junior-to-senior software professionals looking to switch careers to AI/ML

Front-end, Back-end, Full-stack, and other Software Engineers
Software Tech Lead
Test Automation Engineers
Mobile Developer (iOS/Android), Web Developer, Game Developer
Security Software Engineer
SAP &  .Net developers

Junior-to-senior Tech Managers without experience in coding but looking to learn ML

Tech Product Managers
Engineering Managers
Tech Program Managers

Junior-to-mid level Semi/Tech Professionals

Cyber Security Engineers, Security Analysts, Network Engineers 
Software Quality Engineers/Analysts 
Embedded Software Engineers, IoT Engineers, Firmware Engineers
Database Administrators, VBA Developers, BI Developers
Data Analyst, Business Analyst 
Cloud Engineers, Cloud Architects 
Mechanical Engineers, Electrical Engineers 
DevOps, Site Reliability Engineers 

Junior professionals from non-STEM/non-coding backgrounds with a high interest in learning ML

SAP Consultants, Tech-consultants
Non-Tech Program and Product Managers
Healthcare/Medical Informatics Analyst, Biostatistician
Risk Management Specialists - Insurance
IT professionals

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

Senior Product Manager, Incode

Ahsan Ali

Applied Scientist

Randy Cogill

Senior Research Scientist

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.

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.

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.

How to Enroll for Interview Kickstart’s Machine Learning Course

Learn more about Interview Kickstart and the ML Course by joining the free pre-enrollment webinar.

Register for webinar
Learn more about the course & pricing
It's Free

Next webinar starts in

00
Days
:
00
Hrs
:
00
Mins
:
00
Secs

FAQ

1
What is Interview Kickstart’s Machine Learning Course ?
2
Is the Interview Kickstart Machine Learning Course aligned with market demands?
3
How does the ML Course work?
4
Will the Machine Learning Course help me get better jobs?
5
What kind of job roles and outcomes can I target after this program?
6
What are the prerequisites for the Machine Learning Course?
7
How much Classical Machine Learning is covered in the program?
8
How much applied Generative AI will be covered in the program?
9
How much Deep Learning is covered in the program?
10
What is the difference between Interview Kickstart’s Machine Learning Course and Advanced Machine Learning Course?
11
How do I enroll in the program?
12
Are the modules self-paced or live?
13
How much time would I need to put in each week for the Machine Learning Course?
14
Will I have access to the learning modules after I complete the program?
Register for our webinar

How to Nail your next Technical Interview

1 hour
Loading...
1
Enter details
2
Select webinar slot
*Invalid Name
*Invalid Name
By sharing your contact details, you agree to our privacy policy.
Step 1
Step 2
Congratulations!
You have registered for our webinar
check-mark
Oops! Something went wrong while submitting the form.
1
Enter details
2
Select webinar slot
*All webinar slots are in the Asia/Kolkata timezone
Step 1
Step 2
check-mark
Confirmed
You are scheduled with Interview Kickstart.
Redirecting...
Oops! Something went wrong while submitting the form.
close-icon
Iks white logo

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
Iks white logo
Help us know you better!

How many years of coding experience do you have?

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Iks white logo

FREE course on 'Sorting Algorithms' by Omkar Deshpande (Stanford PhD, Head of Curriculum, IK)

Thank you! Please check your inbox for the course details.
Oops! Something went wrong while submitting the form.