Switchup: TRANSFORM YOUR CAREER

Transition to Data Science roles at Tier-1 companies

Designed and taught by FAANG+ Data and Research Scientists to help you transform your career and land your dream job.

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Students who chose to uplevel with IK got placed at

Akshay Lodha

Data Engineering & Analytics

Anju Mercian

Data Engineering Consultant

Alokkumar Roy

Data Engineer

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

17K+

Tech professionals trained

53%

Average salary hike received by alums

Data Science Course details and curriculum

PART 1: Mastering Data Science

Programming with Python

Python Fundamentals

Python Data Structures and Programming Constructs

User-Defined and Built-in Python Functions and Modules

Object Oriented Programming using Python

File Handling & Exception Handling

Python for DS/ML - NumPy, Pandas, Matplotlib

Note: Each week will cover some Data Science Python problems

Databases & SQL Programming

Introduction to Databases & SQL Programming

Advanced SQL Programming & SQL Problem Solving

Database Modelling

SQL & Database Modelling Mini Project

(Floater) Prompt Engineering & LLM Pair Programming

Mathematics for DS & ML

Descriptive Statistics and Measures of Central Tendency

Essentials of Probability & Probability Distributions

Statistical Methods

Sampling & Inferential Statistics

Hypothesis Testing

Data Wrangling & Exploratory Data Analysis

Data Wrangling & Data Transformation

Data Preprocessing & Exploratory Data Analysis

Feature Engineering

Data Analysis & Visualisation

Dimensionality Reduction

EDA Mini Project

Classical Machine Learning

Regression Algorithms

Classification Algorithms

Bagging & Boosting Techniques

Model Selection & Evaluation

Regularisation & Hyperparameter Tuning

Unsupervised Machine Learning: Clustering Algorithms

Working with Time Series Data

Modelling Time Series Data

Classical Machine Learning Mini Project

(Floater) Applications of LLMs in ML Modelling

Advanced Machine Learning & Deep Learning

Introduction to Neural Networks

Neural Architectures

Image Processing & Computer Vision

Text Processing & Transformers

Big Data Analysis

HDFS & Data Warehousing

Data Processing with Apache Spark

Cloud Computing & Big Data

Data Privacy Regulations

PySpark Mini Project

Data Visualisation & Storytelling

Data Analysis & Visualisation with MS Excel

Data Processing, Visualisation & Dashboarding with PowerBI

Data Storytelling

Advanced Visualisation & Real-Time Dashboarding

Choice of 6 Capstone Projects

Product Reviews Summary

Smart Commuting Analytics

Election Campaign Analyser

Audio Classifier & Track Recommender

Website Analytics

Stock Price Analysis

PART 2: Interview Prep

Data Structures and Algorithms Interview Prep

Sorting Algorithms

Binary Search

Arrays: Prefix Sum, Sliding Windows

Linked List

Recursion & Backtracking

Stacks and Queues

Trees

Data Science Interview Prep

Linear Regression, MLE, EM and MAP

SQL Programming

Intro to Machine Learning, Supervised Learning

Supervised and Unsupervised ML

Deep Learning and Time Series Analysis

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Best suited for

Why choose this course?

Program by FAANG+ ML Engineers

360° course designed and taught by FAANG+ experts to help you become an ML Engineer

Individualized teaching and 1:1 help

Technical coaching, homework assistance, solutions discussion, and individual sessions

Capstone project

Exposure to real-life machine learning projects

Interview prep modules

Dedicated interview prep classes focused on helping you get 100% interview-ready

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

Learn more about the course & pricing

It's Free

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Meet your instructors

Our highly experienced instructors are active hiring managers and employees at FAANG+ companies and know exactly what it takes to ace tech and managerial interviews.

Matt Nickens

Manager, Data Science

10+ years experience

Andrew Treadway

Research Data Scientist

9+ years experience

Omkar Deshpande

Head of Curriculum

15+ years experience

Qiuping Xu

Principal Scientist

9+ years experience

Anmol Darak

Data Scientist II

10+ years experience

Rituraj Jodha

Senior Data Scientist

10+ years experience

Mantej Gill

AI Researcher and Senior ML R&D Engineer

10+ years experience

Abhinav Maurya

Data and Applied Scientist 2

10+ years experience

Shubajit Saha

Software Engineer Machine Learning

10+ years experience

Abdul Salama

Manager, AI Platform

12+ years experience

Bharath Srikanth

Senior Data Scientist

7+ years experience

Bhuvan Venkatesh

Data Scientist

5+ years experience

Built for working professionals

The program schedule is designed to fit into your work and life schedule, with live classes on weekends and coaching sessions in the evenings.

Sunday

4-hour Live Classes in the morning

Consists of introduction to fundamentals, interview-relevant topics and case studies

Assignment review session

Solve questions and case studies based on the assignment shared with you

Thursday

2-hour session in the evening to discuss assignments and problem solutions

Once a week

1-hour technical coaching session to discuss any additional doubts

Practice and track progress on UpLevel

Designed and taught by FAANG+ AI/Machine Learning Engineers to help you transform your career and land your dream job.

Mock interviews suite

On-demand timed tests

In-browser online judge

10,000 interview questions

100,000 hours of video explanations

Class schedules & activity alerts

Real-time progress update

11 programming languages

Get upto 15 mock interviews with

hiring managers

What makes our mock Interviews the best:

Hiring managers from Tier-1 companies like Google & Apple

Interview with the best. No one will prepare you better!

Domain-specific interviews

Practice for your target domain - Machine Learning

Detailed personalized feedback

Identify and work on your improvement areas

Transparent, non-anonymous interviews

Get the most realistic experience possible

More about mock interviews

1. Flexible schedule

Pick timings convenient to you

4. Technical and behavioral interviews

Uplevel your technical and behavioral interview skills

2. Remote interview experience

Mirrors the current format of remote interviews

5. Level-specific interviews

Because an L4 at Google can be quite different from an E7 at Meta

3. Feedback documentation

All the feedback you’ve ever wanted, recorded and documented

6. Interviewer of your choice

Choose based on domain

Career impact

Our engineers land high-paying and rewarding offers from the biggest tech companies, including Facebook, Google, Microsoft, Apple, Amazon, Tesla, and Netflix.

Jameson Merkow

Principal AI Engineer

Placed at:

I joined IK because I had a lot of really terrible experiences with interviews. The confidence and expertise I routinely demonstrated in the workplace was not translating to interviews. I lacked confidence during behavioral interviews and felt completely lost when asked coding questions. IK taught me how to clearly demonstrate my skills and experience during interviews which ultimately helped me find a Principal engineering position at Microsoft.

Safir Merchant

Machine Learning Software Engineer

Placed at:

I liked the course that IK provided a lot. IK provided all the knowledge on a variety of topics that helped me prepare for coding interviews. The mock interviews were really great. Landing a job at my desired company has been a great pleasure.

Siva Karthik Gade

SDE — Machine Learning

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 + career coaches, mock interview support from the best interviewers in the respective fields. IK brings together people with same the ambition (on their platform, UPLEVEL) to guide and inspire each other

Sai Marapa Reddy

SWE, Machine Learning

Placed at:

I completed IK’s program and got offers from a couple of FAANG companies. Why you should take this course: It is well tested and the focus is more on the concepts/templates rather than approaching one problem at a time. You will meet peers who have similar aspirations. You can make groups and help yourselves.

How to enroll for the Machine Learning Course?

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

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