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Be an AI & ML Expert in

6 months

Duration:

6 months

Fees:

Rs. 1.95L + Taxes

Apply before:

25th May 2019

Meet our mentors

Our world-class mentors are hand-picked, for their experience and love of teaching. 

Ankit Jain
Senior Research Scientist

Bargava Subramanian
Co-Founder

Kannappan Sirchabesan
Cloud Data Engineer

Sameera Poduri
Principal Data Scientist

Curriculum

UNIT 1

Machine Learning Engineering Stack

  • Hadoop Or Spark ?
  • Luigi Framework
  • PySpark in Practise
  • Dockers & Containers for Data Science.
  • CI/CD - Continuous Integration/Continuous Delivery
  • Version Control Using Git
  • Logging, Testing, Debugging
  • Python Code Optimization
  • AWS Services for AI/ML
  • ML Tools and Libraries
  • Capstone : Proposal

UNIT 3

Foundations of Machine Learning

  • Linear Regression
  • Logistic Regression and Gradient Descent
  • Statistical Modelling
  • Decision Trees for Classification and Regression
  • Random Forest Algorithm
  • K-Means Clustering
  • Gradient Boosting : XBoost and CatBoost
  • Model Selection : Feature Selection, Dimensionality, Cross-Validation
  • Model Evaluation : Performance Metrics
  • Model Interpretation : Explainable AI & ML
  • ML Hands On and Best Practices

UNIT 2

Data Wrangling

  • Introduction to APIs and Web Scraping
  • Data Wrangling with Pandas
  • Importing Data from Web
  • SQL For Data Analytics
  • SQL at Scale Using Spark
  • Handling Unstructured Data
  • Big Data Analytics - Spark Data Frames | PySpark | Dask
  • Data Storytelling
  • Capstone : Data Collection

UNIT 4

Machine Learning at Scale

  • Advanced Data Wrangling at Scale (Big Pandas, Advanced SQL)
  • Scalable Machine Learning with Dask
  • Distributed Computing with Dask
  • Parallel Computing with Dask
  • ML at Scale on SparkML
  • Supervised Learning with SparkML
  • Recommendation Engines at Scale with Spark
  • Monitoring and Debugging Scaleable ML Systems
  • Building, Debugging and Tuning SparkML Pipeline
  • Best Practices for ML at Scale

UNIT 6

Natural Language Processing

  • NLP Fundamentals in Python
  • NLP Feature Engineering
  • Beyond word2vec & Mathematics Behind It : GLoVE, fastText, StarSpace
  • Text Classification Models with FastText in Python.
  • Building Chatbots in Python
  • Conversational AI and NLU
  • Advanced Modern NLP
  • Capstone Submission

UNIT 5

Deep Learning

  • Deep Neural Networks
  • Backpropagation & Mathematics Behind It
  • CNNs, RNNs, LSTMs, GANs and the Maths Behind Them
  • Stochastic Gradient Descent
  • Deep Learning with (Keras, Tensor Flow, Pytorch)
  • Building and Deploying Deep Learning Apps
  • Using Kears, TensorFlow and Pytorch.
  • Building a CNN using TensorFlow
  • Deep Learning using Pytorch
  • Fast.ai : Deep Learning Framework
  • Transfer Learning : Research Work
  • AutoML and Deep Learning Optimization
  • DL Hands On and Best Practices

UNIT 7

Image Processing and Computer Vision

  • Computer Vision : Advanced & Applied
  • Deep Learning In Computer Vision
  • Image Processing Pipelines
  • Image Compressing : Color Quantization
  • Image Clustering and Classification - Deep CNNs, GANs
  • Object Detection Using TensorFlow and SSDs
  • Semantic Segmentation for Deep Learning
  • Applications and Trends: Hands On and Best Practices
  • Image Processing Tutorial : Dataset Preprocessing, Building Utils, Training & Inference, Model to Production.

UNIT 9

Career Service

  • Take Home Challenges
  • Schedule Technical/Non-Technical Mock Interviews
  • Negotiation Skills
  • Creating Effective Job Search Strategy
  • Craft Resume and LinkedIn Profile
  • Community Engagement

UNIT 8

Deploying AI Systems : From Model to Production

  • Production Data Science with Git
  • Building Quality APIs : Swagger
  • Testing APIs : Postman
  • Designing of Deployment Solution Architecture
  • Technical Considerations of Productionizing Models
  • Building Robust ML systems
  • Deploying Python Models to Production
  • Deploying Large Spark Models to Production

Our Graduates were hired by...

Meet a few of our Data Science Bootcamp alumni 

Have tried using many MOOC`s to learn data science but to no use. Springboard`s mentor driven and community driven coursework is a lot better. The course was a great alternative to a fully immersive bootcamp, since I wanted something that allowed me to quickly learn the skills required for a Data Scientist while still being able to work my full time job.

Great coursework with awesome assignments, one-one with a mentor who works as a data scientist is just amazing thing. More strategic in successful accomplishment of Capstone project. Worth for all the money you spent.

This course was the first step in getting my foot in the door of the data science field. I’m grateful that Springboard was the beginning of my data science journey

Arun Sivasankar Bharadwaj
Search Analyst

Nishal Pattan
Data Science Intern 

Arti Annaswamy
Global Ops

4.8 of 5

Meet our mentors

Curriculum 

Meet a few of our Data Science Bootcamp alumni 

Our graduates were hired by...

Be an AI/ML Expert in 6 months

Course Structured for Working Professionals with Programming Experience.

Weekly 1:1 mentorship calls with leading AI & ML experts.

Personalised Career coaching, Job Assistance and Job Guarantee*

Project Based Learning

Be a Data Scientist in 6 months

4.8 of 5

Be a Data Scientist in 6 months

One-on-one mentoring by leading data scientists.

6 months, 100% online course. Learn while you work!

14 Real-life projects including 2 Capstone projects.

Personalized career coaching, interview prep and job assistance.

Job guarantee for eligible candidates.

Duration:

6 months

Program delivery:

Online

Hours of content: 450+

Fees: Rs.1.95L 

(Incl of taxes)

Apply before:

7th Aug 2020

Quick facts

Our world-class mentors are hand-picked, for their experience and love of teaching. 

Janu Verma
Data Scientist

Cijo George
Data Scientist

Hemant Misra
VP of AI-ML

Farhat Habib
Director of Data Science

Meet our mentors

You will have a personal 1:1 mentor and 1:1 Career Coach

12000+ students 

empowered online

Case Studies

  • Case Study 1 : Apache Spark @Scale : A 60 TB+ Use Case at Facebook
  • Case Study 2 : Explainable AI/ML
  • Case Study 3 : Natural Language Processing - Finding Duplicate Questions on Quora
  • Case Study 4 : Computer Vision - Medical Images
  • Case Study 5 : Computer Vision - Fashion Images

Mini Projects

  • API
  • Data Wrangling With Pandas
  • JSON Based Data Exercises
  • SQL at Scale With Spark
  • Data Wrangling at Scale With Spark
  • Linear Regression
  • Logistic Regression
  • Tree-Based Algorithms
  • Clustering
  • Spark ML

Meet our Alumni 

Meet our Alumni 

Have tried using many MOOC`s to learn data science but to no use. Springboard`s mentor driven and community driven coursework is a lot better. The course was a great alternative to a fully immersive bootcamp, since I wanted something that allowed me to quickly learn the skills required for a Data Scientist while still being able to work my full time job.

Arun Sivasankar Bharadwaj
Search Analyst

I enrolled with Springboard India in its first cohort and the experience has been nothing short of magical. The quality of personal 1:1 mentoring is exceptional, to say the least, and this is true for every other learner I have spoken to. The mentor works with you every week and helps with projects, industry insights and much more. Add to this the support you get from student advisor, career coach and TA. The experience has been the best I could have asked for.

Purushottam Malgi

This course was the first step in getting my foot in the door of the data science field. I’m grateful that Springboard was the beginning of my data science journey

Arti Annaswamy
Global Ops

Our world-class mentors are hand-picked, for their experience and love of teaching. 

Janu Verma
Data Scientist

Hemant Misra
VP of AI-ML

Farhat Habib
Director of Data Science

Meet our mentors

Our Mentors

Be a Data Scientist in 6 months

Be an Artificial Intelligence & Machine Language Expert in 6 months

Weekly 1:1 mentorship calls with leading AI/ML experts.

Project Based Learning

Personalised Career coaching, Job Assistance and Job Guarantee*

Lifetime Access to resources

Best suited for software professionals with 3+ years of programming experience.

Weekly 1:1 mentorship calls with leading AI & ML experts.

Springboard Experience: What you get?

                                         Program Overview:

  • Course Structured for Working Professionals only
  • 15 Case Studies and Assignments
  • Weekly 1:1 Mentoring Sessions with Industry Experts
  • Student Advisor to help you complete the course
  • Job Guarantee*
  • 450+ Hours of Learning
  • Hands on Assignments
  • Teaching Associate for Code Reviews
  • No Cost EMI Option
  • Weekly Office Hours with AI Experts

Advanced ML Algorithms, NLP, Deep Learning, Image Processing and Computer Vision, Mathematics and Statistics for AI, Data Wrangling, Deploying Scalable ML Models.

Top Skills You Will Learn: 

Job Opportunities:

ML Engineer, Data Scientist, Deep Learning Engineer, Data Analyst, Data Engineer, NLP Engineer, NLP Analyst, Research Opportunities

Tools Covered: 

Scikit Learn, Pytorch, Hadoop, Luigi, Spark/PySpark, Docker and Containers, Terraform, NumPy, Pandas, Python, Dask, SQL/NoSQL, Keras/TensorFlow, SparkML, CuPy(L).

Course Structured for Working Professionals with Programming Experience.

Lifetime Access to resources

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EMI: Available with Zero Interest

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