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Application

Registration Process

Open

*Registration Fee is Non-Refundable

Duration

6 Months Live Online Session

3 hours
Weekend Class

Program Fees

INR 59,900 +GST

Program Overview

Learning Hours

Module

Projects

Interview Calls

Certification Course in Data Analytics, AI/ML & IoT aims to provide participants with a solid foundation in Data Analytics, AI/ML and IoT concepts, along with practical skills and experience and apply these technologies in real-world scenarios. By providing a comprehensive overview of Data Analytics, AI/ML and IoT concepts, along with practical hands-on experience and real-world case studies, this program equips participants with the knowledge and skills needed to excel in data-driven environments and leverage IoT technologies effectively.

Program Overview

Learn from one of India’s Leading Engineering School
Experience high-impact live online learning and explore real-world
case studies
Gain industry-oriented insights from eminent IIT Khargpur faculty
Participate in peer-to-peer learning and expand your professional network
Receive an industry recognised Certificate in Data Analytics and AI/ML from IIT Kharagpur

Learning Outcomes

  • Designing Robust IoT Solutions: Participants will be able to design robust IoT solutions.
  • Effective Data Collection and Transmission: Participants will acquire practical skills in collecting and transmitting data in IoT environments.
  • Efficient Data Storage and Processing: Participants will understand how to store and process IoT data efficiently using a variety of storage solutions and processing techniques.

Note:
Modules/ topics are indicative only, and the suggested time and sequence may be dropped/ modified/ adapted to fit the total programme hours. Case studies, real world examples and numerical illustrations are an integral part of multiple modules included in the course.
The primary mode of learning for this programme is vialive online sessions with faculty members.
Post session video recordings may or may not be made available, at the discretion of faculty members.
Emeritus or the institute does not guarantee availability of any session recordings.

Who is this Programme for?

This programme is best suited for:

  • Early and mid-level Professionals interested in gaining a relevant and cutting-edge perspective on Data Analytics and ML for better career prospects
  • Professionals who oversee software development and machine learning projects with a keen interest in developing a data-driven decision-making approach and those looking to apply Data Analytics and ML to enhance their business growth

Career Opportunities After Data Analytics, AI/ML Training

Data scientists collect, analyze, and interpret large volumes of data and extract relevant information from it. They apply their mathematical, statistical, and programming skills to analyze and interpret the data available to companies. Companies use these insights to create business strategies.

Average Salaries

₹ 6L – ₹ 25L Per Annum

Hiring Companies

  • Accenture Lgo
  • Capgemini Lgo
  • Deloitte Lgo
  • Genpact Lgo
  • Hcl Lgo
  • IBM Lgo
  • Infosys Lgo
  • Tcs Lgo
  • Tech M Lgo
  • Wipro Lgo

    Program Modules

    • Module 1: : Introduction to Data Analytics (12 Hours)
      • Data Analytics: Importance and Applications in the Real World
      • Types of Data: Structured vs. Unstructured
      • Data Cleaning and Preprocessing Techniques
      • Exploratory Data Analysis (EDA)
      • Data Visualization Basics
    • Module 2: Fundamentals of Machine Learning (12 Hours)
      • Introduction to Machine Learning
      • Supervised vs. Unsupervised Learning
      • Regression, Classification, and Clustering Techniques
      • Evaluation Metrics (Accuracy, Precision, Recall, F1-Score)
      • Overfitting, Underfitting, and Cross-Validation
    • Module 3: Deep Learning and Neural Networks (12 Hours)
      • Introduction to Neural Networks
      • Activation Functions, Loss Functions, and Optimization
      • Feedforward Neural Networks
      • Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
      • Introduction to Transfer Learning and Pre-trained Models
    • Module 4: Natural Language Processing (NLP) (12 Hours)
      • Text Preprocessing and Tokenization
      • Sentiment Analysis and Text Classification
      • Word Embeddings and Vectorization (Word2Vec, GloVe)
      • Introduction to Transformer Models (BERT, GPT)
      • Applications of NLP in Industry
    • Module 5: AI/ML Applications, Ethics, and Future Trends (12 Hours)
      • AI/ML in Healthcare, Finance, E-commerce, and Autonomous Systems
      • Ethical Implications of AI: Bias, Fairness, and Transparency
      • Legal and Regulatory Frameworks for AI
      • Trends in AI/ML: Federated Learning, Explainable AI, Edge Computing

    FAQ

    Programme Coordinator

    • Dr. Sudip Misra

      Professor

      Indian Institute of Technology Kharagpur

      Dr Sudip Misra is a fellow of the Indian Institute of Technology Kharagpur. He received his Ph.D. degree in Computer Science from Carleton University, in Ottawa, Canada. His current research interests include Wireless Sensor Networks and Internet of Things. Professor Misra has published over 550 scholarly research papers and 12 books. He has won thirteen research paper awards in different conferences and four best paper awards in IEEE journals

      Note:

      - Programme Coordinators might change due to unavoidable circumstances,and revised details will be provided closer to the programme start date.

      Sample Certificate

      Enrollment Process

      01
      Apply Online and receive counselling from our Program Advisors
      Pay the Registration Fee of INR 1000 + 18% GST
      02
      02
      Pay the Registration Fee of INR 1000
      03
      Submit documents and get them reviewed
      Receive Offer Letter and Accept the Offer

      04
      04
      Receive Offer Letter and Accept the Offer
      05
      Onboarding completed and ready for Course Commencement

      Some Thoughts from Our Happy Learners

      • The course content is relevant and useful for my current and future career aspirations.Professor has good expertise and effectiveness in explaining the concepts with practical applications. The quality and accessibility of the course material is very good. These are well-organized and easy to navigate. Overall, I am very much satisfied with the program.

      • Professor is extremely good in making complex concepts easy to understand. He provides extensive real life examples to explain complex topics. The course materials are well- structured and well-accessible. It’s a fantastic opportunity to enhance knowledge in Data Analytics.

      • The concepts are explained very smoothly by the Professor. He is extremely good in demonstrating the complex concepts in a smooth way. The real-world examples really helpful to solidify my learnings.

      • The program provided extensive practical applications and hands-on experience, which greatly enhanced my understanding of the subject matter. I feel well-prepared to apply what I’ve learned in real-world scenarios. The Instructor is really helpful to address each of my queries and to demonstrate the key concepts. Thank you for this program!

      • I would have appreciated more opportunities to engage in real-world projects to deepen my understanding. The course materials are very much informative and useful.

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