AI/ML Program for Professionals | IIIT-H Machine Learning Lab

Overview

About Program

Advanced Certification in AI/ML is an in-depth and comprehensive program suitable for Tech Professionals. The Program is led by collaborative Faculty from Academia, Industry and Global Bluechip Institutions. The unique 5-step learning process of Masterclass Lectures, Hands-on Labs, Mentorship, Hackathons, and Workshops ensure fast-track learning.

The Program is offered in two distinct formats, viz. Hyderabad and All-India. Both the Formats have identical curriculum, learning outcomes and certification. The delivery formats are adapted to suit participants who can attend in-person classes every week and those who cannot. This enables participants from across the country and abroad to build AI/ML expertise from India’s top Machine Learning Lab’s at IIIT Hyderabad.

Participant Feedback

“Great opportunity to learn from India's Best Professors.”
Rambabu Bonkuri, Lead Developer, Paymatrix

“It is all about the collaboration & networking that this Program brings to the table.”
Krishna Chilamkurthy, Program Manager, Microsoft

“Peer Networking, Hackathons, Labs gave hands-on perspective. Exceeded my expectations.”
Venu Chigullapalli, MD, India Operations, BostonLogix

“Concise Program, good exposure to research as well as industry trends and practices.”
Meenakshi Singh, Software Developer, Hitachi Consulting

“Overall structure didn't overwhelm, considering some of us haven't been coding for a while.”
Saritha, Sr. Technical Manager, Netcracker

“The best thing that's happened to me in the last few decades.”
Yunis Ahmad, Senior Director, Netenrich Technologies

“It gave a clear understanding of the concepts and how to connect it with real-world scenarios.”
Laxman, Director, Qualcomm

“This Program gave me a scope to get into ML team in my office.”
Sravya Yellapragada, Development Engineer, Pramati Technologies

Participant Profile

1600+Participants working
with 500+ Companies
70%Participants with over 5 Years of Experience
19%Women
Participants
30%From Startups and
Small Companies

Job Profile

12%Leadership
27%Manager
27%Analyst
34%Developer

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Organisations where Participants are Employed

Accenture
Adobe
ADP
Amazon
AMD
AT&T
Bank of America
Bayer
Bosch
Byju's
CA Technologies
Capgemini
CGI
Citrix
Cisco
Cognizant
Cyient
DBS
Dell
Deloitte
DXC Technology
ECIL
Elsevier
Ericsson
GE
Genesys
Genpact
Genuitec LLC
Google
Guardian
HCL
Hewlett Packard
Hitachi Consulting
Honeywell
Housejoy
HP
HSBC
Hyundai Mobis
IBM
ICICI Bank
Infosys
Intel
Intuit
JPMorgan Chase
LTI
LG
Medtronic
Microsemi
Microsoft
NCR
NetApp
Nokia
Novartis
NTT Data
OLA Cabs
Oracle
Paytm
Pegasystems
Polycom
PwC
Qualcomm
Salesforce
Samsung
SAP
Schneider Electric
Siemens
TCS
Tech Mahindra
Uber
United Health Group
Verizon
Virtusa
VMWARE
Wells Fargo
Wipro
Zensar Technologies
Zoomcar

Curriculum

Curriculum for Practitioners

Intensive
Curriculum
Most-preferred
Learning Format
Exceptional
Peer Group
1 Year Online
Access and Support
Refresher for Python
Programming & Maths
Career Acceleration
Support

Unit 0 Foundations

Refresh your knowledge on coding and mathematics necessary for building expertise in AI/ML.

Introduction to Python Programming
Key Python Libraries (NumPy, SciPy, Pandas, Colab)
Refresher for Math Concepts (Online)
Overview of AI and ML Concepts

Unit 1 Problem Formulation and Solving

Learn to translate real-world problems in terms of AI/ML abstractions.

Overview of Python and its libraries for ML (Pandas, Matplotlib etc)
Demystifying ML
ML Avatars
Simple but elegant Algorithms
Ideas about practical issues such as Overfitting etc.

Unit 2 Closer Look at AIML Algorithms

Learn about and apply standard AI/ML algorithms to create AI/ML applications.

Formulating Real World Problems for AI/ML
Classification and Regression Problems
Intuitive and Simple Algorithms
Representation of the World and Real Data
Linear Algorithms, Optimization and Training
End-to-end Problem Solving
Non-linear Solutions and MLP
Gradient Descent and Backpropagation
Decision Trees, Random Forests and Ensembles

Unit 3 Deep Learning and Practical Issues

Implement practical solutions using Deep Learning Techniques and Toolchains.

Visualization, Data Prep, Unsupervised Learning
Principles and Practice of ML
Support Vector Machines and Kernels
Introduction to DL and Toolchain
Convolutional Neural Networks
Auto-Encoders
Recurrent Neural Networks
Overview of Advanced Topics in DL
Human In the Loop Solutions, Deployment

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Industry Hackathons*

Chatbot

Building a domain agnostic chatbot which can be configured to perform actions such as ticket booking, a restaurant reservation or even choosing a laptop.
Speech-Based IVRS

Building a voice-based food ordering application that is trained to handle voice recognition in a noisy environment by harnessing the power of machine learning.
Phone Unlocking with Anti-face Spoofing

Building a phone unlocking app, using deep learning algorithms, to verify a registered face. An app that is secured against spoofing by identifying the change in expression.
Autonomous Vehicle

Enabling a robotic vehicle equipped with cameras and Lidar sensors to recognize signs, obstacles and paths and to navigate to the desired destination.

*These are just some of the interesting Hackathon Projects in the Program

Faculty

Learn from Leaders

Dr. C. V. JawaharProgram Director and Lead Faculty

Machine Learning Lab Head. Renowned Expert in Machine Learning and Optimization, Document Image Analysis, and Computer Vision Problems. Ph.D. from IIT Kharagpur.
Dr. Anoop NamboodiriLead Faculty

Associate Professor at IIIT-H. Expert in Pattern Recognition and Machine Learning, Computer Vision, and Biometrics. Ph.D. from Michigan State University.
Asokan PichaiLead Faculty

Senior Vice President at TalentSprint. Industry Instructor, Instructional Designer, and Programming Guru. Consults with FOSSEE at IIT Bombay on Python Courses.
Vineet GandhiLead Faculty

Assistant Professor at IIIT-H. Expert in Computer vision and multimedia, human detection and tracking, depth reconstruction and applications. Ph.D. from INRIA, France.

Outcomes

What should you expect from this Program?

BuildBuild and deploy AI/ML and Deep Learning Apps
LearnLearn from the world class faculty and professionals
ReinforceReinforce learning by applying concepts
CertificateObtain an Advanced Certification from IIIT-Hyderabad ML Lab
AlumniGet Alumni Status of IIIT-Hyderabad Executive Education

Cohort

Upcoming Cohort

For tech professionals in and around Hyderabad

13 Weeks.60 Sessions.120 Hours
Weekend Contact Classes (Sat & Sun)
Delivered at Gachibowli, Hyderabad

Fee

Fee with Flexible Payment Options

Details	Amount
Enrolment Fee	₹20,000 + GST
Program Fee	₹1,80,000 + GST
Total Fee	₹2,00,000 + GST

Flexible EMI Options available

Avail Early Bird Scholarship of ₹25,000 on Program Fee.

Women and Group ScholarshipsTo encourage more Women and Groups to develop expertise in deep tech skills and enhance diversity, these Special Scholarships are offered.

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Institute

About Institute

First IIIT
in India
Largest CS
Research Group in India
#1 in AI Research
in India
#2 in Robotics
Research in Asia

Kohli Center on Intelligent Systems (KCIS) at IIIT-H was established in 2015 to give a fillip to research, teaching and entrepreneurship in the Broad Intelligent Systems Area. It has the #1 rated Machine Learning Lab in India and acts as an umbrella organization at the institute to both strengthen the existing groups and facilitate new activities in related areas. It also acts as a force multiplier in attracting projects and funding from the government and industry sectors, coordinating research in related domains across different IIIT-H centers, as well as in the institute's research collaboration with other academic institutions in the country. For more information please visit www.iiit.ac.in

Deep Tech Program
for Professionals
Best in Class
Hybrid Platform
Industry
Partnerships
Academic
Partnerships

TalentSprint brings high-end and deep-tech education to aspiring and experienced professionals. It partners with world class academic institutions and global corporations to develop and offer disruptive programs. TalentSprint's hybrid platform delivers unique onsite and online experiences that help build cutting-edge expertise, for today and tomorrow. For more information please visit www.talentsprint.com