Bring an undeniable transformation in the technological world with a PG Diploma/ M. Tech/M.Sc in Artificial Intelligence program offered by RACE. The comprehensive learning approach to master the domains of Artificial Intelligence, Data Science, Business Analytics, Business Intelligence, and Deep Learning enables the participants to take on challenging roles in the Artificial Intelligence domain. This 12/24 month program is recognised by UGC.
Trainers are industry thought leaders with more than a decade of experience with specialisation in Artificial Intelligence and Machine Learning domains. The trainers offer hands-on training with access to real-time projects.
Upon the completion of the program, the participants will be able to:
1. Develop Full-Stack AI skills
This unique program will help the learners to design end-to-end AI solutions and data-driven processes and systems. The program emphasizes building technical solutions with machine learning and/or deep learning and deploying and monitoring them on-premise.
2. Three Global certifications from Microsoft Azure and AWS Academy.
The participants will get access to two globally renowned cloud platforms, Microsoft Azure and AWS Cloud. They will have unlimited access to our academic partners’ ecosystem, including the Cloud labs access, Course Materials, Partners’ LMS, placement services, mentoring sessions, and three global certifications.
3. Building Techno-Functional Expertise
A well-balanced program curriculum ensures that the learner builds deep technical and functional expertise in building Machine Learning/Deep Learning-based applications in all the enterprise functions, new projects and product developments based on the business/social/research challenges, thus making a very strong resume with hands-on skills which are a rarity today.
4. Deep hand-on industry-grade projects with research and innovation as the focus
At the end of this two-year MTech/MSc in AI program, the learners will get to work on 15 plus mini-projects, four-plus full-scale projects and research publication(s). These projects are mentored by industry thought leaders and hence career transformational. The projects range from business use cases to cutting-edge deep learning product development.
5. One-on-one lateral placement and career guidance support and assistance
A vast network of 50 plus industry mentors, 100 plus marquee organizations as placement partners, 1000 plus strong alumni network ensures that all our learners successfully transition into analytics managers during the program. The lateral placement process is uniquely designed with one-on-one career guidance and mentoring sessions, resume building support, special training and mock interviews, helping each of our learners to be placed nationally and internationally with a 50 to 200% increase in salary on average.
The trimesters of the program are designed to help the professionals in their career transition by giving exposure from the basics to advanced level of big data, ML systems and AI applications. The curriculum of the program with hands-on learning opportunities enables the participants to deploy the AI models effectively in businesses.
In this module, the participants will learn the building blocks of intelligent systems. They will explore the best practices to harness the power of complex data structures like lists, sets, dictionaries, and tuples to store the data. They will also learn to design custom functions, write scripts, handle errors and create and generate basic AI algorithms. They will be able to embed reasoning and thinking into programming.
After completing this module, the participants will be able to manipulate the functions, source codes and debug the Python programs, will be able to write fluent Python reasoning based functions and will be able to integrate programs and functions written in different languages/tools.
This course provides knowledge and skills for understanding Linear Algebra fundamentals and applications in Machine Learning. Participants will work on a few in-classroom projects to get first-hand experience of their skills. The learners will work on advanced matrix operations and supervised and unsupervised algorithms using linear algebra. Hands-on projects on customer segmentation, dimension reduction, topic modelling are the highlights of the module.
The course on Data Processing for AI will provide knowledge and skills related to SQL, for handling structured/tabular data. Participants will work with structured and unstructured data and its types. They will learn about collecting and accessing text data from different sources, implementing text cleaning, preprocessing and feature engineering in NLP, and advanced methods of feature engineering.
At the end of the course, the participant will be equipped with knowledge, skill and experience to handle structured, i.e., tabular data and unstructured data such as text, image, video, etc. in AI and Data Science Projects.
Tools: SQL, NoSQL, Python
This module aims to provide a strong foundation on applying statistical concepts and methods in real-world situations and domains related to analytics. The course intends to provide them with experience in communicating the results to non-statistical/business stakeholders and present their cases with appropriate business relevance. They will learn univariate, bivariate and multivariate statistical techniques, setting and testing hypotheses, sampling, probability and building statistical models.
Tools: Python, R
This module combines concepts, tools and practical workshops to familiarize and build expertise in Machine Learning algorithms and model building processes. Practical skills in building supervised and unsupervised algorithms through industry-relevant case studies and data sets is the focus. The topics covered include approaches to ML, Data preparation for ML, Supervised learning, Linear models, Neural networks, Perceptron, Linear SVM, Non-linear models, Multi-layer perceptron, Decision trees, Random forests, Support vector machines, Bayesian modeling, Independent models, Naïve Bayesian modeling and more.
This course provides a unique opportunity for you to learn key components of text mining and analytics aided by real-world datasets and the text mining toolkit. Hands-on experience in core text mining techniques, including text preprocessing, sentiment analysis, and topic modeling, help the learners be trained to be competent data scientists.
After completing this course, participants will know all the basic concepts of natural language processing to be applied with text data and hands-on exposure to implementing NLP models to find insights from the text data.
The objective of this module is to make the participants implement and apply the state of the art deep learning models in real-world problems. The participants will get in-depth understanding and hands-on exposure to applying deep learning methods to solve a variety of computer vision-based problems. The labs include building a deep neural network for a given problem, hyper-parameter tuning and optimization to make sure it avoids overfitting, building a time sequence based neural networks and solving the problems of forecasting, building CNN for image processing tasks, learn how and when to use Auto encoders and familiarized with latest advances in deep learning.
AWS Academy Machine Learning Foundations introduces students to the concepts and terminology of Artificial Intelligence and machine learning. By the end of this course, students will select and apply machine learning services to resolve business problems. They will also label, build, train, and deploy a custom machine learning model through a guided, hands-on approach.
Tools: Amazon SageMaker
This course provides an introduction to some of the foundational ideas on which modern reinforcement learning is built, including Markov decision processes, value functions, Monte Carlo estimation, dynamic programming, temporal difference learning, eligibility traces, and function approximation. This course will develop an intuitive understanding of these concepts (taking the agent’s perspective), while also focusing on the mathematical theory of reinforcement learning. Programming assignments and projects will require implementing and testing complete decision-making systems.
Tools: Python, OpenAI Gym, Keras, Jupyter Toolkit
This module deals with designing and implementing a data science solution on Microsoft Azure. The participants will learn to create and manage Azure and Data Bricks workspace, run and monitor models, automated MLs and tune hyper-parameters and Deploy and operationalize machine-learning solutions in the Azure cloud environment. The participants will go through the DP-100 to qualify as Microsoft certified Azure Data Scientist.
Tools: Microsoft Azure Machine Learning studio, Databricks
The first-year Business Analytics program will culminate in designing, preparing and presenting a real-time capstone project on a live technical/business challenge. Each of the participants gets to work with a senior industry mentor for guidance spanning six weeks. The final certification is strictly based on the successful completion and submission of the capstone project with a favourable assessment from the panel of industry mentors. The objective is to develop your managerial and consulting capabilities by applying the lessons learnt in the program to real-life AI challenges.
All the First-year capstone projects ideally need to present in a conference of repute or publish in a peer-reviewed journal. The submissions to the program office will include, presentation deck, project report, code and associated dataset.
Fast Track Analytics is a specially designed module to empower the participants with all the required statistical and machine learning concepts from basics to advanced concepts using R and Python quickly through five-plus critical domain use cases. After completing this course, participants will be capable of articulating the language of business analytics, will be able to perform EDA and Predictive Modelling and be able to prepare for job interviews in analytics and attend interviews confidently.
Tools: Python, R, Advanced excel
This course will explore the principles and techniques used in real-world computer vision systems and the research and development of new systems. The module will cover, Image processing fundamentals, basics and applications of digital image processing, intensity transformations and colour image processing, image filtering and advanced image processing methods, spatial Image filtering, Image features, feature matching, texture matching, image segmentation, clustering images, classification of images, video analytics and more. At the end of this course, the participants will understand and master essential knowledge, theories and methods in image processing and computer vision.
Tools: Python, Tensorflow, Keras
The objective of this course is to make the participants able to develop and use speech analytics tools that can indicate why the customers are calling, provide real-time analytics for agents and even monitor conversions.
At the end of this course, participants will be familiar with speech analytics methods and its applications, along with the hands-on knowledge of how to develop and use the speech analytics tools and applying speech analytics methods to address real-world problems.
The labs will include elements of speech systems, specular reflection, specularity, speech Input device, speech analysis, speech parametrization, speech processing, speech production, speech recognition, speech spectral envelope, speech synthesis, speech system, text to speech and speech to text modeling and more.
The objective of this course is to develop the skills to gain a basic understanding of neural network theory and fuzzy logic theory and Introduce students to artificial neural networks and fuzzy theory from an engineering perspective.
The learner will work on fuzzy logic, fuzzy Inference systems, probability theories, bayesian probability -prior, conditional and posterior probabilities, bayesian network, Gibbs sampler, Inference in graphical models, reasoning with uncertainty, unsupervised learning – expectation maximization, supervised learning – Naïve Bayes, Full Bayes, genetic algorithms, genetic programming and more.
Tools: Python, OpenAI Gym, Keras, Jupyter Toolkit
This is a Microsoft Azure-based module with certification. The learners will be able to design and deploy AI systems with Azure through this course. They will plan and manage an azure cognitive services solution, implement computer vision solutions, NLP solutions, knowledge solutions and conversational AI solutions. After completing the certification exam, they will be designated as Azure AI Engineer Associate.
Tools: Microsoft Azure Cognitive Services, Custom Visions Services, Video Indexer, Language Understanding Service (LUIS), QnA Maker etc.
The second-year AI program will culminate in designing, preparing and presenting/publishing a real-time capstone project on a live technical/business challenge in AI. The scope and business applications of the project need to be larger than the first-year project. Designing and implementing, deploying and demonstrating an end-to-end AI project with a reasonable monetary benefit need to built. The program office will support with mentoring and report writing. The evaluation is based on viva-voce by an industry panel of experts.
Tools: Full Stack
Note: The submissions to the program office will include, presentation deck, project report, code and associated dataset.
This module credits can be earned by writing and publishing a research paper on the capstone project done in the earlier module. The participant needs to publish or present the paper in a peer-reviewed journal or reputed international conference. The participants will learn skills in research paper writing and publishing/presenting. The program office will provide extensive support on publications which includes, access to research articles and repositories, five-plus paid databases, writing boot camps, mentoring, publication and patenting support.
Note: Second-year capstone project needs to be mandatorily published in a peer-reviewed journal or presented at an international conference.
This program is powered by various globally renowned marquee organizations. RACE, REVA University is an academic partner for AWS, Microsoft and CloudxLabs and others. MBA Business analytics participants will get unlimited access to our educational partners’ ecosystem, which include the Cloud labs access, Course Materials, Partners’ LMS, placement services, mentoring sessions and more.
AWS Academy partnership provides our participants’ course materials to pursue industry-recognized certifications and in-demand analytics/AI/ML Jobs. AWS curriculum helps the learners stay at the forefront of AWS Cloud innovations. The learners will get access to the Cloud environment to build and deploy ML/AI solutions.
Microsoft Azure is the leading cloud platform and productivity company for the mobile-first, cloud-first world, and its mission is to empower every person and every organization on the planet to achieve more. Through this partnership, our participants will get access to their 100’s of course, certification opportunities, placement services. Cloud labs with credits will be provided to practice the real-time deployment of projects.
Through our association with CloudxLabs the participants will get access to six-plus high demand courses on an online cloud platform for making learning fun and sustainable. The learning platform is gamified, which features an array of one-of-its-kind offerings, including -Online Video Courses 24 hours Lab access ( with Jupyter environment ), Auto-assessment tests and BootML – The UI based Machine Learning model code generator.
The tools used for experiential learning in AI are Around 15+ advanced tools are used to encourage proactive learning among the participants, which consist of proprietary SIEM and SOAR tools, and open-source tools.
Learn by doing real-life projects to transform the learning process not only interesting but also engaging.
RACE has a thriving industry connect in consulting and participants will get to work with diverse industries and businesses by setting and co-creating AI solutions. The facilities at the campus include state-of-the-art AI labs with NLP/Vision Technology and mentors with expertise in core areas enable the participants to work on live AI projects.
RACE’s NLP team is led by senior industry leaders and research scholars. The students can work together on projects ranging from sentiment analytics, linguistics, and conversational algorithms in multiple applications on agriculture, education, and citizen support systems. RACE’s customised NLP software with built-in models for multiple tasks are used in processing natural language elements in various projects.
This lab works on images and videos and projects ranging from object identification, detecting motions, and developing intelligent actions. The researchers in this lab work on health care images and videos, and building automated systems for health care professionals.
RACE is in the process of building a state-of-the-art AI accelerator to provide data management and high performance (3X to 5X improvement over workstation servers) AI Modelling services. This lab is used to build multiple prototypes and test them at scale.
RACE in association with industry partners is building a trainable humanoid with basic motions and speech processing SDK to field test the developed models. The production services will work as a model factory to provide runtime deployment of field-tested models.
Industry mentors are the assets of REVA Academy for Corporate Excellence. The industry experience of our mentors helps the participants to bridge the gap between classroom learning and the industry
Dr. Simha’s core competency is in R&D, business intelligence and analytics consulting. He has implemented several large scale systems for telecom, BFSI and manufacturing industries in business intelligence and analytics. He has been recognized as one of the ‘Top 10 Most Prominent Data Science Academicians in India: 2019’ by Analytics India Magazine.
Leading a talented team of Data Scientists and Analytics professionals in Amazon to draw insights and build actionable models from mostly unstructured data such as text and speech from India and other geographies. He has won prestigious awards such as Project Excellence Award from Citigroup and Annual Leadership Award from Target. He has also been recognized as one of the ‘Top 10 Data Scientists in India: 2020’.
Pradeepta Mishra is the Head of AI at L & T (LYMBYC) and leads a group of Data Scientists, computational linguistics experts, Machine Learning and Deep Learning experts in creating value in the industry. He has expertise across various branches of Artificial Intelligence including Image Processing, Audio Processing, NLP, NLG and NLI, and design and implementation of expert systems and personal digital assistants.
Sandeep is a seasoned and hands-on machine learning scientist with a strong experience in building world-class software products, machine learning and churning humongous data. His core expertise is in Deep Learning (TensorFlow, Scikit learn, MLLib), Distributed Computing (Spark, Hadoop, Kafka), Software Development (Web/Mobile, Python/Scala/Java/C/JS), User-Centric product development, etc.
Ravi is a Data Scientist with expertise in the areas of Web Analytics, AI including Natural Language Processing & Machine Vision. He has 16 filed patents with USPTO out of which three have been granted.He has contributed to AI solutions across various business domains. He has been recognized as one of the ‘Top 40 under 40 Data Scientists in India: 2019’ by Analytics India Magazine.
Dr. Angshuman Ghosh is a data science and strategy leader with experience in retail, media, research, and tech domains. As a Data Scientist, he led data science and analytics projects using cutting-edge technologies like Artificial Intelligence, Machine Learning, Deep Learning, etc. He is also a member of prestigious Harvard Square Leaders Excellence and American Marketing Association.
Prahlad is a Strategist, Industry Leader, Change Expert and a Leadership Coach. He had led several engagements and business units globally by guiding companies in their business, operations, IT and Analytics strategy, and execution. His expertise is in the areas of Consumer Products, Business Development, Business Transformation Consulting, Corporate Strategy, and Leadership Mentoring & Coaching.
Gopal is a leading subject-matter-expert in Cloud, AI, and Automation technologies. He has a proven track record of driving digital transformation at scale for 1K enterprises across multiple industries. Gopal is an inspiring technology leader known for building and sustaining talented teams of consultants, architects, and software developers across America, Europe, Asia, and Australia.
Artificial Intelligence and Machine Learning Evangelist, an Author, a Speaker, and a Mentor who drives AI and Data Science-led strategic transformation. He had led strategy and transformation interventions through AI by working on various Machine Learning, Deep Learning, Natural Language Processing, and Artificial intelligence engagements by applying state-of-the-art techniques in this space.
Sayandeb has worked both as part of the large enterprises by setting up the analytics capabilities as well as a service provider for various enterprises. Sayandeb has also played several intrapreneurial roles like designing training and pedagogy by establishing hiring practices, innovation, marketing, and communication.
Amaralingeswara is well-experienced in a wide variety of software development and professional services include Product Development, Quality Assurance, Support, and Lab Services. His core expertise is in optimising the operational, technical and delivery efficiency of teams by taking challenges. He has been awarded as “Best People manager of 2010” by IBM India.
Dr. Santosh Nair has extensive experience in statistical modelling and advanced analytics consulting. He has extensive experience in statistical modelling and advanced analytics consulting. His areas of specialization include Marketing and Media Mix modelling, Pricing, Customer segmentation and Response Modelling in Loyalty Analytics, Testing Analytics and Forecasting.
RACE has also partnered with leading industry giants to ensure the participants achieve their career-oriented goals.
The program fee for the two-year MTech/ MSc in Artificial Intelligence is INR 4.5 lakhs and the one-year PG Diploma in Artificial Intelligence is INR 3.5 lakhs. Merit Discounts for those who scored 60% and above in their pre-qualifying exam is available. Early bird/group/referral discounts are also available.
REVA Academy for Corporate Excellence-RACE has tied up with various banking and non-banking institutions to support the prospective candidates for providing educational loans at a lower interest. These financial institutions will allow you to repay the educational loan in easy instalments and income tax benefits.
Avail hassle-free educational loan to help you to join our Master’s programs to power up your skills to build your dream career.
Answer all of your questions
Artificial intelligence domain shows exponential growth in recent years. AI is the subset of Data Science, which helps to simulate machine intelligence. Learning an emerging technology like AI is a great choice as businesses/organizations are becoming dependent on various AI applications. Businesses/organizations rely on AI as it helps to improve products/services, analyze business models, and enhance decision-making processes in businesses. Hence, enrolling to PGD/M. Tech in Artificial Intelligence program at RACE will take your career to the next leve
Candidates with a minimum of 50% in B. Tech/BE in Computer Science or IT, or equivalent qualification from any recognized university and 2 years of work experience are eligible for M. Tech in AI. Candidates with coding/programming expertise and experience in business analytics or artificial intelligence domain are preferred.
Applicants with B.Sc./BCA/any other equivalent qualification with mathematics as one of the subjects and with a minimum of 2 years of experience are eligible for PGD/MS in Artificial Intelligence.
You will learn programming, Linear Algebra, Data Handling, Deep Learning, Machine Learning, Natural Language Processing, Conversational AI, Fuzzy Systems, Robotics, Computer Vision, etc., during your learning process.
Both PG Diploma and M. Tech in Artificial Intelligence are offered in the format of traditional classroom delivery (on-campus), which is on Saturdays. However, short-term programs/certification courses are available in both online and blended learning modes depending on the requirements of the certification courses.
Yes, we are offering a Certification Course in Artificial Intelligence and Deep Learning in a blended mode of learning i.e. both online and classroom modes of learning.
The demand for artificial intelligence professionals is ever-growing because all of us are living in a technology-driven world. We are creating algorithms that can automate business services and business intelligence. Development of self-driven cars and service robots are creating challenges in the business world. Hence, there is a huge requirement for talented individuals who can change the world with AI applications. AI applications are not limited to automotive/service industry, but also applicable to every other industry.
The duration of the M. Tech/MS in Artificial Intelligence program is 2 years, which consists of 6 trimesters and PG Diploma in Artificial intelligence will be of one year. The duration of the short-term/certification program is 6 days.
Yes, it is possible to pay the fees in installments using your convenient payment modes such as online bank transfer, credit/debit card transfer, cheque, Paytm transfer, etc.
According to the academic calendar, admissions to M. Tech/PGD in Artificial Intelligence will be in two batches, Batch 1 starts in August and Batch 2 starts in January. However, you can apply for the program or book your seats at any time of the year. Admissions will happen throughout the year, but you have to confirm the batch you would like to join.
No. If you do not have 2 years of experience in IT/Artificial intelligence domain, then you will not meet the eligibility criteria of our artificial intelligence programs.
Yes, it is. Our M. Tech in Artificial intelligence program is approved by AICTE, UGC, and REVA University, and MS program is recognized by UGC and REVA University. The postgraduate diploma program is approved by both UGC and the Karnataka Government.
Click on the ‘Apply Now’ button on our website, https://race.reva.edu.in. You’ll be directed to another page where you can choose your preferred program, which will take you to another page that consists of all the program details. Use the pop-up form to fill in your details and register. Once you’ve registered with us, you will get a confirmation mail regarding your registration. Soon after the submission of the registration form, one of our coordinators will contact you and take you through the application process
Once you register/apply for the program, we will assign a coordinator for the applicants. If you have additional queries about the program, you can feel free to contact your coordinator.
Talk to your coordinator, he/she will guide you whether the program is beneficial to meet your career aspirations or not.
We offer state-of-the-art AI labs to promote hands-on learning among the participants such as Natural Language Technology Lab, Vision Technology Lab with Kinetic Sensors and 3D Cameras, Deep Learning Accelerator, and Humanoid Simulators.
RACE cannot guarantee admission after the application deadline, even though you can contact us for admissions throughout the year. We will not admit more than 30 students in a batch. Once we admit the said number of students, we will close the admission for that batch. Once the admissions are closed for a particular batch, you can apply only for the next batch. Hence, it is highly recommended to complete the application process as early as possible.
We offer state-of-the-art AI labs to promote hands-on learning among the participants such as Natural Language Technology Lab, Vision Technology Lab with Kinetic Sensors and 3D Cameras, Deep Learning Accelerator, and Humanoid Simulators.
At present, we offer only one certification program in Artificial intelligence i.e. Certification Course in Artificial Intelligence and Deep Learning. We accommodate only 10-15 participants in each batch of the certification program.
RACE offers weekend classroom training (only on Saturdays) for long-term programs. Both blended and online mode of delivery is applicable for short-term programs depending on the program you choose.
No, you don’t have the option to complete the program online, except for some of the short-term/certification programs.
Yes, once you’ve joined the program, you will get the login details to access the Learning Management System (LMS), where you can find all the learning materials such as pre-readings, assignments, in-class resources, recorded videos of classroom sessions, additional reading materials, webinars, and other learning resources added as per the requirements.
Yes, you can visit a classroom session to understand the teaching-learning process involved in our corporate programs. The coordinator assigned to you will assist you in your visit to our University.
The program outcomes differ from program to program. Upon the completion of each program, you will become a pro in relevant tools, industry skills, and industry best practices. Our programs enable you to achieve your professional and leadership goals.
Yes, we do offer placement assistance that includes career guidance, resume building tips and mock interviews. Each participant will receive staunch support from the industry mentors, who also direct you through various placement opportunities within the industry. Placements also happen through peer, alumni and mentor referrals. Above all, we are partnered with leading MNC’s that offer placement opportunities to our participants.
Success is in the DNA of RACE. Decipher the successful journey of RACE through our mentors and participants.
We are training industry professionals and far ahead in imparting education specifically in cutting-edge technology education. RACE, REVA University is the best in terms of state-of-the-art labs. I’m proud to be associated with RACE since the beginning in developing course curriculum and content. What I feel good about RACE programs is that the programs offered here are not available pan India, except in few universities. The live projects of these programs give great exposure to the participants to get into future jobs.
I’m very grateful and proud to be part of the MBA in Business I’m very grateful and proud to be part of the MBA in Business Analytics program at REVA Academy for Corporate Excellence (RACE), 2019-2021 Batch. The credit goes to RACE mentors and my batch mates. Still, a long way to go to learn and improve my skills I’m very grateful and proud to be part of the MBA in Business I’m very grateful and proud to be part of the MBA in Business I’m very grateful and proud to be part of the MBA in Business
The program added value to my experience in Data Science The program added value to my experience in Data Science The program added value to my experience in Data Science and Business Analytics domain as the program allowed me to solve real-life problems using machine learning models and data science techniques. The program added value to my experience in Data Science The program added value to my experience in Data Science The program added value to my experience in Data Science
“I have been associated with REVA University for Corpddordate I have been associated with REVA University for Corporate Excellence for last 4+ years, working closely with the PGDM/MBA in Business Analytics Batches in delivery, helping with use cases, and some of the data processing areas. Even though the participants joining RACE’s programs are well-experienced, they would like to expand or switch their career for better opportunities. To advance in their career, MBA/PGDM in Business Analytics program of RACE is a great choice.
The program helped me to make a career transition as a Data The program helped me to make a career transition as a Data Analyst. The well-structured MBA program of RACE has supported me in my career and has offered a lot of exposure in the data science/analytics domain. The structured and experiential learning at RACE will help the program participants to advance in their career. “The program helped me to make a career transition as a Data Analyst. The well-structured MBA program of RACE has supported
Being a program/project manager for the past 7 years and with Being a program/project manager for the past 7 years and with more than 9 years of experience in technologies like Java, .net, DevOps, I got associated with REVA for MBA (Artificial intelligence). I have learnt from classroom sessions with many industry leaders and got exposure to real-time business understanding in AI. The hands-on sessions at RACE helped me a lot in exploring new opportunities in Data Science and the Artificial intelligence world.