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

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
  • Wells Fargo
  • Wipro
  • Zensar Technologies
  • Zoomcar


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

Unit 0 Foundations

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

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

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

Deep Learning 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

Download Curriculum Download Prospectus

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


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.

Guest Speakers


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
AIML Certificate


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 with Flexible Payment Options

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

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

Scholarship FeeWomen 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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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

  • Academic

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


Program Media Coverage


  • Hyderabad IIIT Hyderabad and TalentSprint,
    Gachibowli, Hyderabad 500 032

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