Full Stack AI and Machine Learning Course

₹25,000 + taxes

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₹25,000 + taxes


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AI and Machine Learning courses not only help you improve the customer experience using IT and ITes products and services but also change the way companies operate across different industries and domains. An increasing number of technology-savvy industries from retail to healthcare are recognizing the benefits of ML & AI. They are using this technology to run their organizations efficiently, serve their customer better, and increase profitability.

Our AI ML courses train learners in the most sought after skills globally and ML Engineers have been ranked among the top emerging jobs on LinkedIn. Jigsaw’s fully online Instructor-led Full Stack AI and ML courses aim to equip ML & AI enthusiasts the right training to pursue this tech vertical.

Corporates are constantly looking for AI-experts who can help them cultivate a stronger AI development team and take forward their capabilities. That’s where AI and ML courses come handy to foster your career in this field. There’s no doubt in asserting that there are endless opportunities for candidates who have completed machine learning and artificial intelligence courses from reputed platforms. Jigsaw Academy offers one of the best machine learning and artificial intelligence courses in India that promises to provide you with the right training to set foot into this technical vertical. Our AI and machine learning courses are focused on enhancing students’ knowledge base through capstone projects, case studies, and industry-relevant certification. More and more industries are recognizing the benefits of AI ML for better productivity that will eventually increase the need for a reliable and skillful full-stack machine learning expert. 

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Learning Mode:  Online (Self_Paced)
Certification Certification:  Jigsaw Academy
Course Duration:  3 months
Access Duration:  9 months

What you get

Capstone Project
Faculty & Technical Support
Mobile App Access
Case Studies
UChicago Certification
Online Classes
Online Q&A Sessions
Guaranteed Internships
IOT Hardware Kit
IOT Hardware Kit
In-Person Faculty Support
IconNot Applicable
* T&C apply

Tools & Curriculum Covered

Tools Tools Tools Tools Tools Tools Tools
Pre-Requisites: Basics in Programming & Statistics

Introduction to Machine Learning

Introduction to Python

Introduction to Pandas

Data Manipulation with Pandas

Visualization in Python: MatplotLib

IBM: Python for Data Science


Case Study - Software Product









Introduction to Linear Regression

Logistic Regression



Tree Based Regression and Classifier

Random Forest and Gradient Boosted Machines

Case Study - Prices of AirBnB Properties in Amsterdam



Memory Based Engines

Model Based Engines: Singular-Value Decomposition (SVD) & Non-Negative Matrix Factorization (NMF)



K - Means

Agglomerative Clustering

Case Study - Image Classification (Retail Data)



Neural Networks

Convolutional Neural Network

Recurring Neural Networks (RNN) and Long Short-Term Memory (LSTM)

IBM Content - Tensor Flow

Case Study - OCR to Detect Regional Languages



Intuitive Examples of AI Applications

How is AI different from ML and DL?

Foundations and History of AI

Different AI categories

What is BlockChain?

Demystifying Cryptocurrency and Smart Contracts

Use Cases Driven by Block chain

Case Study - Machine Learning Model to Identify Promising Project Proposals

Case Study - Direct Marketing Business

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Long term programs are better suited to professionals looking to transition to an entirely new role in data science or machine learning, or those who are looking to start careers in these fields. They are more comprehensive and prepare you a variety of roles in these domains. With this knowledge, professionals will have the flexibility to choose the type of role they move into.

If you are enrolled for any of our in-person classes, you can ask your questions during the live sessions. For online learning, you can reach our faculty through email, call, chat (Google hangouts) or ask via the forum. Once the course is over, you can still get in touch with us via email.

We have a strong network in the field of analytics. We are constantly in touch with various companies for their hiring and training needs. We identify the right opportunities for our students and help them get in touch with the relevant HR teams.

  • Overview of Data Science with Python includes Manipulation & Visualisation
  • Get started with Machine Learning & Feature Engineering
  • 360-degree view of recommendation engine, conceptualisation to prototyping
  • Hands on Deep Learning algorithms
  • Getting Started with Tensor Flow
  • End to End implementation with Crisp DM

Data Science & Machine Learning are among the most sought skillset globally and Data Scientist have been ranked among the top emerging jobs on LinkedIn.

  • India has 6% of the total AI&ML job openings in the world; number of AI&ML jobs to grow by 45% in 2019
  • Hiring Sectors in next 3-5 years: IT, FinTech, e-commerce, Healthcare, Agriculture, Retail, Travel & Hospitality
    • More than 300 AI & ML startups in in India alone
    • More than 15000 active jobs available on job portals like Naukri, Shine, Glassdoor, Indeed etc
  • Job Roles: ML Engineer, ML Developer, ML Application Engineer, ML Analyst, Data Scientist, Applied ML Engineer, Expert Analyst
  • Salary bands: For a seasoned person in ML & AI salary never is a concern. You can always look ahead of where you are

Success Stories & Placements

Success Stories

"Kanav, an IT professional, switched to analytics, and gained a HUGE salary hike in six months   After working for over two years as a data test engineer with a leading software MNC, Kanav decided ..."

Kanav Nayyar

Founder, Data Analyst, Leading Analytics Company