IIIT-H Certification | Interactive Live Online Delivery | Mentored Labs
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Advanced Certification in AI/ML is a 6 months in-depth and comprehensive program. It enables working professionals from around the world to build AI/ML expertise from India's top Machine Learning Lab at IIIT Hyderabad. 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.
Kohli Center on Intelligent Systems (KCIS) at IIIT Hyderabad 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 Hyderabad 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
C. V. Jawahar received his Ph.D. from Indian
Institute of Technology Kharagpur. He is the
Machine Learning Lab Head, Dean (RnD) and
Amazon Chair Professor at IIIT Hyderabad. He is
a renowned expert in Machine Learning and
Optimization, Document Image Analysis, and
Anoop Namboodiri received his Ph.D. in
Computer Science from Michigan State University,
USA. He is associated with the Centre for Visual
Information Technology. His research interests
include Pattern Recognition, Biometrics,
Document Understanding, and Computer Vision
Ravi Kiran received his Ph.D. from the Department
of Computational and Data Sciences, Indian
Institute of Science, Bangalore. His research areas
include Computer Vision, Machine Learning,
Virtual Reality, Robotics, Affective Computing,
Document Analysis and Multimedia.
Vineet Gandhi received his Ph.D. in Applied
Mathematics and Computer Science from INRIA
Rhone Alpes/University of Grenoble. His research
areas include Computer vision and multimedia,
human detection and tracking, computational
photography and cinematography, depth
reconstruction and applications.
Asokan is an Industry Instructor, Instructional
Designer, and Programming Guru, with a solid
software development experience of over 35 years.
He is an early adopter of open-source software.
He has acted as a consultant in the FOSSEE
project at IIT Bombay. He also launched India's
first successful and profitable city portal.
Avinash Sharma received his Ph.D. in Applied
Mathematics from INP Grenoble and INRIA
Rhone-Alpes. His research areas include 3D Human
Reconstruction, 3D Point Cloud Generation and
Analysis, Spectral Graph Analytics, Brain Graph
Analytics, GraphSLAM in Robotics.
Manish Shrivastava received his Ph.D. in Computer
Science from Indian Institute of Technology
Bombay. His research areas include Natural
Language Processing, Machine Learning,
Machine Translation, NLP for India Languages.
Vikram Pudi received his Ph.D. in Data Mining
from Indian Institute of Science, Bangalore. His
research areas include Data Mining, Artificial
Intelligence, Database Systems and Pattern
Praveen Paruchuri received his Ph.D. in Computer
Science from University of Southern California,
USA. His research areas include Artificial
Intelligence, Multi-agent Systems, Game Theory,
Applied Machine Learning and Intelligent
Naresh Manwani received his Ph.D. in Machine
Learning and Pattern Recognition from Indian
Institute of Science, Bangalore. His research
areas include Machine Learning, Data Mining,
Deep Learning, Natural Language Processing,
statistical learning theory, online learning
and reinforcement learning.
Girish Varma received his Ph.D. in Computational
Complexity theory from Tata Institute of
Fundamental Research, Mumbai. His research
areas include Complexity Theory and Algorithms,
Combinatorics, Computer Vision, Transportation &
Autonomous Navigation and Machine Learning.
Building a domain agnostic chatbot which can be configured to perform actions such as ticket booking, a restaurant reservation or even choosing a laptop.
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.
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.
By sharing your education and professional details
By program selection committee
By Remitting the Registration
By Remitting the Full Program Fee
From August 2020
By February 2021
“The Program content is well designed and delivered
at par excellence. A-must-go-to Program for an IT professional.”
Joginder Singh, Program Manager, Qualcomm
“The IIIT Hyderabad faculty is simply superb and competent to
teach AI and Machine Learning”
Sridhar Chilla, Lead Consultant, British Telecom
“The Program has been brilliantly structured in a way
that even a beginner can easily understand AI concepts.”
Kandula Andula Lakshmi Chaya, Manager, R&D, Broadcom
“Structured curriculum with industry projects
and hackathons makes this course very effective.”
Swaroop Shivaram, Principal Engineer, Target
“The best thing that's happened to me in the last few decades.”
Yunis Ahmad, Senior Director, Netenrich
“The Program offers a great pool of information and it is
impressive that I could absorb so much in a short duration.”
Om Prakash Jaiswal, Senior Software Engineer, Opentalk
with 750+ Companies
70%Participants with over 5 Years of Experience
30%From Startups and Small Companies
|Program Fee||₹2,00,000 + GST|
|Scholarships: Early Bird/ Group/ Women/Youth and Startup. On
|Payable Fee||₹1,50,000 + GST|
|24-month interest-free EMI
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
There are 5 reasons why serious professionals prefer the IIIT Hyderabad AIML Program.
"Structured curriculum with industry projects and hackathons makes this course very effective."
Swaroop Shivaram, Principal Engineer, Target
"The AIML program gave the real understanding of working with ML algorithms that I could even tackle Kaggle problems. Post completion, I could confidently get into the ML team at my workplace too."
Sravya Yellapragada, Development Engineer, Pramati Technologies
"Doing hackathons with a diverse group of people gave an opportunity to learn and share ideas, knowledge with them."
Tejeswini, Project Engineer, Skyrus Engineering
"Hands-on learning, tech support, experienced faculty, exposure to real-world problems - the right way to learn AI/ML for professionals."
Sai Kiran Gumma, Vice President, JP Morgan Chase
Industry is clearly looking for professionals who can build AI/ML applications. Professionals with hands-on experience will be preferred by the industry.
This program is designed to reach higher levels of learning as per Bloom's Taxonomy. The program will not only help you Understand, but also enable you to Apply, Analyse and Evaluate which are far higher levels of expertise.
A participant will do 40+ individual lab experiments and 8 mini-hackathons. In addition they will also be participating in 4 hackathons, which includes select kaggle experiments. This will help the participant not only learn and implement AI/ML but also showcase your expertise for the industry to recognize.
Industry needs professionals with technical expertise and domain expertise to work together to solve today's challenges. Generally, domain expertise comes with experience, and tech expertise comes with young professionals.
As AI/ML has recently entered into the main-stage for companies and professionals, and the education system has very limited capacity for producing fresh graduates with AI/ML expertise, the industry is facing severe shortage. NASSCOM predicts that there are 140,000 vacancies while not even 30% of these seats are being fulfilled.
This has opened up great opportunities for working professionals. Those who are developing AI/ML expertise now are in great demand by the industry.
This demand will continue till the education system churns out enough good quality graduates with AI/ML expertise. The fact that the education system right from school is focusing on building AI/ML learning from a young age, and that many engineering institutions have launched focused programs like BTech in AI/ML, the supply will catch up with industry demand over the next 3-5 years.
This opens up a good window of opportunity for working professionals. If someone enters this area in the next 6 months to 1 year, they will have more than 2 year window to showcase their expertise and become the lead for the new generation that would come in.
Professionals are presented with a unique window of opportunity with AI/ML expertise. In the 1990s a large number of science graduates shifted to technology, and they are now defining the Technology sector. Similarly, those who enter the AI/ML area now will have a distinct advantage in the future of the industry.
Here's why this is the right time to invest in building your expertise:
Based on the data since lockdown, we find that serious professionals are using this time to get ready for the future.
Two things are happening as you wait and watch. 1) Younger and more dynamic professionals are going to enter with knowledge, 2) the experience premium will continue to drop thereby making senior professionals less attractive to companies. Hence, earlier one moves into sunrise areas will be better.
The Program will be delivered in interactive digital format, retaining effectiveness while maintaining safety. The format uniquely combines the benefits of an in-class program with the flexibility and safety of online delivery.
|Benefits of In-Class Delivery||Flexibility and additional value of online|
|Synchronous program delivery by expert faculty||Re-attend classes through recorded archives|
|Interact and get your doubts answered by faculty||Access videos easily with searchable and indexed video archives|
|Work in group with other participants||Learn from the comfort and safety of your home|
|Get support from mentor for labs and experiments||Office hours with one-on-one mentor support|
Program will be delivered on TalentSprint's patent pending iPearl.ai, a leading digital learning platform of choice used for programs delivered by the likes of Google, IIM Calcutta, IIT Hyderabad, IISc, and IIT Kanpur to name a few.
Last 3 cohorts of the AI/ML program has been delivered on this platform and has achieved high completion rate.
Learning effectiveness and experience of the participants on this program has been high with NPS of over 80 (NPS of 50 and above considered excellent while 70 and above is considered "world class")
In the wake of Covid-19, the world is going through an uncertain phase. Working from home, not being able to socialize, and concerns about personal and family safety are taking a toll on all of us. We hope the situation will improve soon.
More than ever before, we now need a balance between safety and flexibility in everything we do. We at IIIT Hyderabad and TalentSprint are fully committed to safety, flexibility, excellence and timeliness with regard to all of our programs.In line with this, we have introduced the following:
|Attend live interactive online classes by top professors from the safety of your home||Practitioner's curriculum with Industry projects and Hackathons||High-quality peer-learning, mentored group labs, and hackathons on digital platform||Long term interest-free EMI options|
If you choose to enroll for Cohort-15, these measures will give you an opportunity to continue your focus on long term goals and career objectives while retaining maximum flexibility.