IIT Madras Research Park Campus Immersion Program is Inspiration | Intellipaat Reviews
0Watch the experience of Intellipaat's Learners about the campus immersion at IIT Madras Research Park after completing Intellipaat's Data Science Program. We have helped more than 600,000+ aspiring students and working professionals transform their careers. Enroll now for your very own career transformation!
➡️LinkedIn Profiles:
Sai Charan: https://www.linkedin.com/in/sai-charan-78272b250
Pramod: https://www.linkedin.com/in/pramodh-kumar-h-401a8525a/
Ekta Bhandari: https://www.linkedin.com/in/ekta-bhandari-05
Mamta Khatri: https://www.linkedin.com/in/mamta-khatri/
Devjyoti: https://www.linkedin.com/in/debjyoti-bhattacharjee
▶️ Advanced Certification in Data Science and AI: https://intellipaat.com/advanced-certification-data-science-artificial-intelligence-iitm-pravartak/
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➡️ About the Course
Master the skills of Machine Learning and 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 boot camp.
➡️Who should take this course?
☑️Individuals with a bachelor’s degree and a keen interest in learning AI and Data Science
☑️IT professionals looking for a career transition as Data Scientists and Artificial Intelligence Engineers
☑️Professionals aiming to move ahead in their IT career
☑️Artificial Intelligence and BI professionals
☑️Developers and Project Managers
☑️Freshers
✅ Key Features - (Course Features)
👉🏼400 Hrs of Applied Learning
👉🏼50+ Live sessions across 7 months
👉🏼218 Hrs of Self-Paced Learning
👉🏼IIT Madras Faculty & Industry Practitioners
👉🏼50+ Industry Projects & Case Studies
👉🏼Placement Assistance
👉🏼Resume Preparation and LinkedIn Profile Review
👉🏼24*7 Support
👉🏼1:1 Mock Interview
👉🏼No Cost EMI Option
👉🏼2 Days Campus immersion at IIT Madras Research Park
What’s Covered in This Program? -
✅Preparatory Session - Linux and Python
✅Data Wrangling with SQL
✅Python With Data Science
✅Linear Algebra and Advanced Statistics
✅Machine Learning
✅Supervised and Unsupervised Learning in ML
✅Deep Learning Using TensorFlow
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