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Master the skills of Machine Learning & Artificial Intelligence with this advanced certification in Data Science and Artificial Intelligence by IITM Pravartak (A Technology Innovation Hub of IIT Madras) & Intellipaat. You will get to learn from the IIT Madras faculty & industry experts with 1:1 mentorship in this intensive online bootcamp.
at IITM Pravartak
This online Data Science and Artificial Intelligence advanced certification course conducted by the IIT Madras faculty aims at helping you master all the basic and advanced level skills that are crucial in the field of Data Science, Machine Learning, Deep Learning, and Artificial Intelligence.
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About IITM Pravartak Digital Skills Academy
IITM Pravartak, a Technology Innovation Hub of IIT Madras is funded by Department of Science and Technology, GoI under its National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS), focuses on application-oriented research and innovation in the areas SNACS. BharOS, India’s first mobile operating system is developed by an IITM Pravartak incubated company.
Key Achievements of IIT Madras:
Data Engineer | India
Intellipaat helped me acquire a solid job in my third year of B.Tech. I received seven job offers, with 30 LPA as the highest CTC. Thanks to Intellipaat for making my career successful.
Senior Technical Associate | India
I got promoted to senior technical associate with a 60% hike after completing this course from Intellipaat. The training taught me new skills and how to implement them in my current role.
Senior Technical Associate
Data Scientist | India
Becoming a data scientist after working as a customer service agent was possible only due to expert guidance from Intellipaat trainers. Even after working for 10 years in customer care, I am a data scientist today.
Customer Service Agent
Machine Learning Engineer | India
Intellipaat made my transition from a civil engineering graduate to an IT industry professional very smooth with its round-the-clock support, excellent curriculum, industry-standard projects, and efficient trainers.
B. Tech — Civil Engineering
Machine Learning Engineer
Data Scientist | India
Intellipaat has given me the confidence that anyone who aspires can become a data scientist because of the rich course and expert guidance. I managed to switch from a non-tech education background to becoming a data scientist.
Data Scientist | Hyderabad
Aircraft Maintenance Engineer
Big Data Developer | USA
The course helped me make a career transition from computer technical specialist to big data developer with a 60% hike. The online interactive sessions hosted by the trainers are the best thing about Intellipaat.
Computer Technical Specialist
Big Data Developer
Product Manager | India
With this course, I switched to a product manager role with an 85% hike. They conducted many interviews, made us complete live capstone projects, and provided many resume-building strategies and all of this gave me confidence.
Data Scientist | Bengaluru
Intellipaat offered me the best learning experience, and today, I have successfully transitioned from a manager role in Edutech to a data scientist. The comprehensive curriculum and the career guidance sessions helped me a lot.
Manager Analytics & Data Science
Program Manager | Pune
Thanks to Intellipaat, I was able to switch to the role of program manager from that of a Microsoft dynamics consultant. Gaining knowledge of the latest technologies as per industry standards helped me the most.
Microsoft Dynamics Consultant
Data Science Intern | Gurugram
I was able to achieve my goal of becoming a data science professional after having been a lecturer, thanks to Intellipaat. It offered a platform to learn data science from the best trainers. The real-life projects were good.
Data Science Intern
55% Average Salary Hike
$1,20,000 Highest Salary
12000+ Career Transitions
400+ Hiring Partners
*Past record is no guarantee of future job prospects
Understand the issues and create models based on the data gathered, and also manage a team of data scientists.
Build strategies on frameworks and technologies to develop AI solutions and help the organization prosper.
With the help of several machine learning tools and technologies, build statistical models with huge chunks of business data.
Design and build machine learning models to derive intelligence for the numerous services and products offered by the organization.
Create and manage pluggable service-based frameworks that are customized in order to import, cleanse, transform, and validate data.
Extract data from the respective sources to perform business analysis, and generate reports, dashboards, and metrics to monitor the company’s performance.
Dr. Tangirala is a professor at IIT Madras with expertise in analytical chemistry and a keen interest in the fields of controller performance monitoring, time-frequency analysis of processes, fuel cells, etc.
He works as an assistant professor for the biotech department at IIT Madras and holds a DSc from EPFL, Switzerland. His research interests span from modelling and optimization of biological networks to machine learning.
Dr. Babji Srinivasan is working as an assistant professor in the Department of Applied Mechanics at IIT Madras. He holds a Ph.D. from Texas Tech University, and his research interests span from behavioral informatics to cognitive systems engineering.
He carries over 15 years of expertise in handling various analytics projects, using several types of ML algorithms in multiple business domains. He has extensive knowledge of SAS, SQL, R, and Python and is proficient in big data environments.
Suresh Ramadurai is involved in teaching market research as a visiting faculty at various IIMs and in training analytics professionals. He is an IIT Delhi graduate with a degree in chemical engineering and holds a PG Diploma in Management from IIM Bangalore.
Manigandan has more than 16 years of experience in cloud projects for Fortune 500 companies. He has a strong background in the architecture and implementation of AWS, Azure, GCP, along with hands-on experience in DevOps tools.
A senior data scientist in the field of analytics and AI, Nishkam Shivam is presently working at Bristlecone. He has more than nine years of experience in this particular field and has also worked in renowned companies like Accenture, Walmart, Emeritus, and many more.
Vishwath Parthasarathy is currently working as a data scientist-III at InMobi. He has also worked at Amazon and PipeCandy. His expertise extends to machine learning, deep learning, MLOps, and algorithmic trading. He has been working as a data scientist since 2017.
Anurag Singh works at Schneider Electric Hub as a principal AI architect. He started as a software engineer in 2007 and has been working as a data scientist since 2018. He specializes in big data, data science, machine learning, and AI system architecture.
Dr. Priyanka is currently working at IIT (ISM) Dhanbad as an Assistant Professor in the Department of Chemical Engineering. She was a research scholar at IIT Hyderabad and a Senior Algorithm Engineer at OSI Systems. She has an experience of 7 years in research.
Dr. Jayadev has completed his Ph.D. from IIT Madras. Currently employed as a Senior Data Scientist at GyanData, he has over 11 years of experience and has worked as a Project Associate at IIT, Madras.
Dr. Hegde is working as an Associate Professor at IIT, Gandhinagar. He has 19+ years of experience in the field of research. He is passionate about optical engineering and computing. He has also worked as a Research Assistant at the University of Michigan.
The application is free and takes only 5 minutes to complete.
SQL Basics –
Advanced SQL –
Deep Dive into User Defined Functions
SQL Optimization and Performance
Writing comparison data between the past year and the present year with respect to top products, ignoring the redundant/junk data, identifying the meaningful data, and identifying the demand in the future(using complex subqueries, functions, pattern matching concepts).
Extract Transform Load
Data Handling with NumPy
Data Manipulation Using Pandas
Descriptive Statistics –
Inferential Statistics –
Introduction to Machine Learning
Artificial Intelligence Basics
The Data Science capstone project focuses on establishing a strong hold of analyzing a problem and coming up with solutions based on insights from the data analysis perspective. The capstone project will help you master the following verticals:
Power BI Basics
Data Visualization with Analytics
Creating a dashboard to depict actionable insights in sales data.
Introduction to MLOps
Deploying Machine Learning Models
Excel For Data Analytics
Data Visualization with Excel
Excel Power Tools
Classification Problems using Excel
Information Measure in Excel
Regression Problems Using Excel
Classification problem using excel on sales data, and statistical tests on various samples from the population.
The application is free and takes only 5 minutes to complete.
Projects will be a part of your Certification in Data Science & Artificial Intelligence to consolidate your learning. It will ensure that you have real-world experience in Data Science and AI.
Practice 20+ Essential Tools
Designed by Industry Experts
Get Real-world Experience
Use Python 3.5 (64-bit) with OpenCV for face detection. The learners must ensure that the system will have to detect multiple faces in a single image. Students must work with essential libraries such as CV2 and Glob.
In this project, the learners will get to work with the IBM Watson AI chatbot, create their own AI chatbot, and see how the IBM cloud helps them create a chatbot on the backs of possibly the most advanced machine learning systems available.
Work with Ensemble Model for predicting annual restaurant sales using various features like opening data, type of city, and type of restaurant. Work with packages like Caret, Boruta, and dplyr to analyze the dataset and predict the sales.
Work with PySpark which is a Python API for Spark and use the RDD using the Py4J package. As an important part of the project, you will also work with SparkConf which provides the configurations for running a Spark Application.
Work with packages like a recommended lab, dplyr, tidyr, stringr, corrplot, and many others to create your book recommender engine using the ‘user-based collaborative filtering’ model that recommends the books based on past ratings.
Work with census income dataset from UCI Machine Learning repository that contains income information for more than 48k individuals. Use data handling techniques to handle missing values and also predict the annual income of people.
In this project on housing price prediction, work with a house price dataset and predict the sale price for each house with 79 explanatory variables describing every aspect of the houses.
Learn to work with the HR Analytics dataset and understand how methodologies can help you to re-imagine HR problem statements. Understand the features of the dataset and in the end, evaluate the model by metric identification process.
Work with the dataset taken from the famous jester online Joke Recommender system and successfully create a model to predict the ratings for jokes that will be given by the users (the same users who earlier rated another joke)
Create a recommending engine by using the SVD algorithm to predict movies on Netflix based on their past ratings. Work with various packages, such as NumPy, pandas, matplotlib and Pyplot, to handle missing values from the dataset.
Extract various Pokémon based on a particular parameter and use a classification model to predict the legendary Pokémon. Work with the regression algorithm to predict the attack and defense of a particular Pokémon.
I am happy to have enrolled in this data science program. The syllabus is organized and the course is well-designed. The best features are the 24*7 support and trainers who are domain experts.
Great learning experience with this course. The support team was always available. The collaboration of practical with theoretical knowledge makes it highly suitable for those who want to upskill.
It was a wonderful learning experience to learn from the trainers at Intellipaat. They were hands-on and provided real-time scenarios. Intellipaat is the right place for learning latest technology.
Best data science course with placements. I was able to upgrade my skills with the help of the rich content and expert training by instructors who carried good experience in the domains.
The training and support team are highly cooperative. The best thing about it is the prompt support. The trainers are well-versed with the concepts and have great content.
This advanced certification is outstanding. The trainer is an experienced Data Scientist who has a good hold on the concepts. Now I am a confident data science professional and joined a reputed firm.
The candidates from Intellipaat were very good. They are better than experienced people from the same domain. The learners had hands-on experience. The product managers were very happy with the job-ready recruits.
Over 10+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions that will help you stay on track with your upskilling.
Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at the profile shortlisting stage
Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.
Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learner’s educational background, past experience, and future career aspirations.
Placement opportunities are provided once the learner is moved to the placement pool upon clearing Placement Readiness Test (PRT)
Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.
Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, and make new friends – the possibilities are endless and our community has something for everyone!
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
Tell us a bit about yourself and why you want to join this program
An admission panel will shortlist candidates based on their application
Selected candidates will be notified within 1–2 weeks
Total Admission Fee
Admissions are closed once the requisite number of participants enroll for the upcoming cohort. Apply early to secure your seat.
|Program Induction||8th Oct 2023||08:00 PM IST||Weekend (Sat-Sun)|
|Regular Classes||8th Oct 2023||08:00 PM IST||Weekend (Sat-Sun)|
Upon completion of the Data Science and Artificial Intelligence training course and execution of the various projects in this program, you will receive a joint Advanced Certification in Data Science and Machine Learning from Intellipaat and IITM Pravartak.
Intellipaat provides career services that include guaranteed interviews for all the learners enrolled in this course. CCE IITM Pravartak is not responsible for career services.
The Advanced Certification in Data Science and AI course is conducted by leading experts from IITM Pravartak and Intellipaat who will make you proficient in these fields through online video lectures and projects. They will help you gain in-depth knowledge in Artificial Intelligence and Data Science, apart from providing hands-on experience in these domains through real-time projects.
After completing the course and successfully executing the assignments and projects, you will gain an Advanced Certification in Data Science and Machine Learning from Intellipaat and IITM Pravartak which will be recognized by top organizations around the world. Also, our job assistance team will prepare you for your job interview by conducting several mock interviews, preparing your resume, and more.
If you fail to attend any of the live lectures, you will get a copy of the recorded session in the next 12 hours. Moreover, if you have any other queries, you can get in touch with our course advisors or post them on our community.
There will be a two-day campus immersion module at IITM Pravartak during which learners will visit the campus. You will learn from the faculty as well as interact with your peers. However, this is subject to the COVID-19 situation and guidelines provided by the institute. The cost of travel and accommodation will be borne by the learners. However, the campus immersion module is optional.
To be eligible for getting into the placement pool, the learner has to complete the course along with the submission of all projects and assignments. After this, he/she has to clear the Placement Readiness Test (PRT) to get into the placement pool and get access to our job portal as well as the career mentoring sessions.
You will undergo below sessions:
Please note that the course fees is non-refundable and we will be at every step with you for your upskilling and professional growth needs.
Due to any reason you want to defer the batch or restart the classes in a new batch then you need to send the batch defer request on [email protected] and only 1 time batch defer request is allowed without any additional cost.
Learner can request for batch deferral to any of the cohorts starting in the next 3-6 months from the start date of the initial batch in which the student was originally enrolled for. Batch deferral requests are accepted only once but you should not have completed more than 20% of the program. If you want to defer the batch 2nd time then you need to pay batch defer fees which is equal to 10% of the total course fees paid for the program + Taxes.
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