Executive PG Programme in Machine Learning & AI
The best selling program with a 4.5 star rating. Learn in-demand skills such as Deep Learning, NLP, MLOps, AI strategy building, work on 15+ industry projects & multiple programming tools.
2+ Million
Learners
India's #1
Technical University (Private)
13 Months
Recommended 15 hrs/week
Jan 31, 2022
Start Date
5 out of 6 Learners
Get Positive Career Growth
Program Overview
Key Highlights
Designed for Working Professionals
15+ Case Studies and Assignments
Live Coding Classes & Profile Building Workshops
600+ Hours of Learning
No Cost EMI Option
No Cost EMI Option
Dedicated Student Success Mentor
3 Electives to customise your learning path
Career Mentorship Sessions(1:1)
High Performance Coaching(1:1)
Just-in-Time Interviews
Industry Readiness Assessments
Exclusive Job opportunities Portal
AI Powered Profile Builder
Personalised Industry Session
Career Bootcamp
Top Subjects You Will Learn
Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Transformers, Cloud and MLOps
Target Audience
Engineers, Software and IT Professionals, Data Professionals
Job Opportunity
Data Engineer, Data Scientist, Machine Learning Engineer, MLOps Engineer
Minimum Eligibility
Bachelor’s Degree with 50% or equivalent passing marks. Minimum 1 year of work experience in a technical domain or a degree in mathematics or Statistics with programming experience
Programming Languages and Tools Covered
Syllabus
- Pre-Program Preparatory Content
- Statistics and Exploratory Data Analytics
- Machine Learning - I
- Machine Learning - II
- Business Intelligence/ Data Analytics
- Machine Learning - I
- Machine Learning - II
- Deep Learning
- Natural Language Processing
- ELective 1: DL with MLops
- Elective 2: NLP with Mlops
- Elective 3: AI strategy
- Reinforcement Learning (Optional)
- Introduction to Python
- Python for Data Science
- Data Visualisation in Python
- Data Analysis Using SQL (Optional)
- Advanced SQL and Best Practices (Optional)
- Data Analysis in Excel
- Analytics Problem Solving
- Exploratory Data Analysis
- Cloud Essentials: Intro to Git & Github
- Inferential Statistics
- Hypothesis Testing
- Lending Club Case Study
- Linear Regression
- Linear Regression Assignment
- Logistic Regression
- Naive Bayes
- Model Selection
- Advanced Regression
- Advanced Regression Assignment
- Support Vector Machine (Optional)
- Tree Models
- Model Selection – Practical Considerations
- Boosting
- Unsupervised learning: Clustering
- Unsupervised Learning: Principal Component Analysis
- Telecom Churn Case Study
- Data Modelling
- SQL Best Practices
- SQL Assignment: IMDb Movies
Advanced Excel - NoSQL Databases and Best Practices
- Introduction to Big Data and Cloud
- Hive and Querying
- Hive Case Study
- Visualisation using Tableau
- Sports Analytics – IPL Visualisation Assignment
- Visualization using PowerBI
- Visualization using Plotly
- Data Storytelling
- Plotly Case Study
- Capstone Project
- Inferential Statistics and Hypothesis
- Testing
- Linear Regression – I
- Linear Regression – II
- Logistic Regression
- Assignment
- Decision Trees
- Random Forest Trees
- Assignment
- Principal Component Analysis + Linear Algebra
- Clustering
- Introduction to Neural Nets with TensorFlow
- Convolution Neural Networks
-
Melanoma Detection AssignmentRecurrent Neural Networks
- Lexical Processing
- Syntactical Processing
- Syntactic Processing – Assignment
- Semantic Processing
- Case Study: Classifying Customer Complaint Tickets
- Cloud Essentials: Intro to AWS
- Working with AWS: case study
- MLOps: Introduction
- MLOps: Data Lifecycle
- MLOps: Model Lifecycle
- MLops Assignment
- Advanced CV
- Advanced CV
- MLOps + Deployment: DL (Theory)
- MLOps + Deployment: DL (assignment)
Cloud Essentials: Intro to AWS
Working with AWS: case study
MLOps: Introduction
MLOps: Data Lifecycle
MLOps: Model Lifecycle
MLops Assignment
Advanced NLP
MLOps + Deployment: NLP (Theory)
MLOps + Deployment: NLP (assignment)
- Cloud Essentials: Intro to AWS
- Working with AWS: case study
- MLOps: Introduction
- MLOps: Data Lifecycle
- MLOps: Model Lifecycle
- MLops Assignment
- AI Strategy Framework, Structured Problem Solving/ Data Storytelling
- Mapping ML with Data architecture strategy
- Executing AI Strategy
- AI strategy: Assignment
- Classical Reinforcement Learning
- Assignment -Classical Reinforcement Learning
- Deep Reinforcement Learning
- Reinforcement Learning Project
The upGrad Advantage
Strong hand-holding with dedicated support to help you master Data Science
Job Opportunities
More Info
Career Assistance
More Info
Practical Learning and Networking
More Info
Industry Expert Guidance
- Interactive Live Sessions with leading industry experts covering curriculum + advanced topics
- Personalised Industry Session in small groups (of 10-12) with industry experts to augment program curriculum with customized industry based learning
Student Support
- Student support is available 7 days a week, 24*7.
- You can write to us via studentsupport@upgrad.com or for urgent queries use the ” Talk to Us” option on the learn platform.
Career Mentorship Sessions (1:1)
- Get mentored by an experienced industry expert and receive personalised feedback to achieve your desired outcome
High Performance Coaching (1:1)
- Get a dedicated career coach after the program to help track your career goals, coach you on your profile, and support you during your career transition journey
Networking & Learning Experience
- Live Discussion forum for peer to peer doubt resolution monitored by technical experts
- Peer to peer networking opportunities with a alumni pool of 10000+
- Lab walkthroughs of industry-driven projects
- Weekly real-time doubt clearing sessions
Industry Readiness Assessments
- Industry oriented tests which are prepared and validated by domain experts for continuous evaluation and improvement
Admission Process
Online Eligibility Test
Fill out an application and take a short 45 mins Online test with 8 questions.
Review & Shortlisting of Suitable Candidates
Our faculty will review all applications. Following this, a virtual interview will be conducted before offer letters will be rolled out so you are assured a great peer group to learn and network with.
Content
Make a quick block payment with assistance from our loan partners where required, receive immediate access to the prep content and begin your upGrad journey.
Programme Fee – Indian Residents
INR 2,99,000 (incl. taxes)
Starting at INR 7,992/month. No Cost EMI options available.
Student Reviews
After just 6 months of starting my AI and ML journey, I have been rewarded with a Data Scientist position in Tech Mahindra with a very hefty package and this is just after going halfway through the program.
According to me this particular program is pretty useful and adds value because of its structured approach, strict schedule, deadlines and the discipline in learning that the overall process brings along.
I appreciate the platform upGrad has provided and how they have arranged modules and assignments. Modules are locked until you complete the previous one, so it feels like clearing a semester and going to the next one.
Frequently Asked Questions
How do I know if this programme is for me?
This programme is for you if you are a:
Data Scientist or Senior Data Analyst:Â If you are comfortable with data wrangling, have implemented statistical or machine learning models in the past, or if you have any prior experience as a working professional. You should also have some experience with R/Python/Scala.
Statistician:Â If you received formal education in statistics or mathematics or if you have any prior working experience.Â
Data Engineer/Big Data Engineer:Â If you have any prior experience in creating data pipelines/handling data warehouses and you have created ETL procedures. In addition, you should be familiar with various frameworks and tools like Hadoop and Spark.
Software Developer:Â If you have prior experience on creating and deploying software/apps, you are comfortable with object-oriented programming and know C/C++/Java/Python or a similar language.
How will this programme benefit me?
The programme will benefit you in different ways depending on your prior experiences:
Data Scientist or Senior Data Analyst:Â The programme will familiarise you with the advancements in ML and AI. It will also help you understand the mathematics behind algorithms and how you can modify them to suit your needs so that you can transition to a Senior Data Science or Machine Learning role.
Statistician/Mathematician:Â Apart from familiarising you with the advancements in ML and AI, the programme will help you understand how to define a structured approach to solve a business problem, and equip you with the right tools so that you can transition to a Machine Learning or Data Science role.
Data Engineer/Big Data Engineer:Â The programme will set up a solid foundation of Statistics, Machine Learning, and AI along with problem-solving skills so that you can solve enterprise-level problems. It will build upon your existing knowledge of various tools to make you a Full-Stack Machine Learning or Data Science professional.
Software Developer:Â The programme will help you create a strong foundation of Statistics, Machine Learning, and Business Understanding. It will leverage your existing knowledge of programming and expand the technologies you are familiar with so that you can become a well-rounded Machine Learning professional.
What is this programme intended to do?
This programme intends to produce extremely well-rounded data scientists and AI professionals with deep knowledge of mathematics, expertise in relevant tools/languages, and understanding of cutting-edge algorithms and applications.
What can I expect out of this programme?
This programme is designed for working professionals looking to pick up skills in advanced concepts like Reinforcement Learning, Graphical Models, NLP, Deep Learning along with a solid foundation of Statistics. This programme demands consistent work and time commitment over the entire duration of 13 months.
Is there any certification at the end of the programme?
Post completion of the programme, an Advanced Certification in Machine Learning and Cloud will be granted from IIT Madras & a M.Sc. degree from Liverpool John Moores University.
About WES Recognition
Please note that the WES approval status of the Executive Post Graduate Program (EPGP-DS/MLAI/SD) shall be known by early 2022. We would like to inform you that this program (under an earlier name) was approved by WES and accorded 1 year diploma equivalency status. While the name of the program has changed to reposition the program in the market, the program curriculum, delivery and learning outcomes remain the same and as such we are cautiously optimistic that the WES approval status shall remain unchanged. We will inform you about WES approval status by early 2022 or alternatively to know the status, you may apply to WES with requisite information and documents on your successful completion of the program. upGrad and IIITB in no way take responsibility in case WES does not recognise the program.
For queries, feedback & assistance
upGrad Learner Support
Disclaimer:
upGrad is India’s largest online higher education company, as per monthly visit data and total visits data for the last 28 days received from similarweb, as on April 13, 2020. Deakin University CRICOS Provider Code 00113B.