Program Overview
Learning Hours
Cutting-edge Modules
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 to 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 short-term course equips participants with the knowledge and skills needed to excel in data-driven environments and leverage IoT technologies effectively.
Program Highlights
case studies
Gain industry-oriented insights from eminent IIT Kharagpur faculty
Receive an industry recognised Certificate in Data Analytics, AI/ML& IoT 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 science 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 science and ML to enhance their business growth
Career Opportunities After Data Analytics, AI/ML & IoT Training
Average Salaries
₹ 6L – ₹ 25L Per Annum
Hiring Companies
Cutting-Edge Tools
ARDUINO
SAS
PYTHON
RASBERRY-PI
R
POWER-BI
IBM-WATSON
GENERATIVE-AI
TENSOR-FLOW
Program Modules
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Module 1: Introduction to Internet of Things (IoT)
- IoT Architecture and Components
- IoT Communication Protocols
- Wireless IoT Protocols
- IoT Data Collection Techniques
- Getting Started with Arduino Programming
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Module 2: Introduction to Raspberry Pi
- Introduction NodeMCU (ESP8266-based IoT Board)
- Collecting Data from Sensors Locally
- IoT Data Transmission and Processing
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Module 3: Data Storage Solutions for IoT
- Foundations of Statistical Analysis for Data Analytics
- Advanced Statistical Methods and Applications in Data Analytics
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Module 4: Introduction to Python for Data Analysis
- Data Analysis Techniques in Python
- Data Preprocessing for IoT Analytics
- Exploratory Data Analysis (EDA) for IoT
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Module 5: Time-Series Analysis for IoT Data
- Anomaly Detection and Predictive Analytics in IoT Data
- Predictive Analytics for IoT
- Optimization Techniques for IoT Systems
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Module 6: IoT Security and Privacy
- Data Governance and Compliance in IoT
- IoT Standards and Interoperability
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Module 7: Data Integration in IoT Environments
- Stream Processing for IoT Data
- Scalability Strategies for IoT Analytics
- High Availability and Fault Tolerance in IoT
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Module 8: Data Visualization Techniques for IoT
- Geographic Data Visualization in IoT
- Interactive Visualization for IoT Analytics
- Visual Analytics for IoT
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Module 9: Exploring IoT Data with SQL
- NoSQL Databases for IoT
- Time-Series Databases for IoT
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Module 10: IoT Data Warehousing
- Data Lakes for IoT
- Federated Learning in IoT
- Data Monetization Strategies for IoT
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Module 11: Foundations of Artificial Intelligence
- Problem Solving and Search Algorithms
- Knowledge Representation and Reasoning
- Machine Learning Fundamentals
- AI Problem-Solving Techniques
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Module 12: Introduction to Expert Systems
- Natural Language Processing (NLP)
- Basics of Machine Learning (ML)
- Deep Learning Foundations
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Module 13: Neural Networks Basics
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
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Module 14: Advanced Deep Learning Techniques
- Natural Language Processing (NLP)
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Module 15: Time Series Data Preprocessing
- Time Series Forecasting Models
- Deep Learning for Time Series Analysis
- Ensemble Methods for Time Series Forecasting
- Advanced Time Series Forecasting Techniques
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Module 16: Model Evaluation and Validation
- Introduction to Generative AI
- Introduction to Language Model (LM)
- Introduction to Large Language Model (LLM)
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Module 17: Deployment Strategies for AI/ML Models
- Sensor Data Acquisition Techniques
- Data Preprocessing and Cleaning in IoT
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Module 18: Real-time Data Streaming in IoT
- IoT Protocols: MQTT, CoAP, HTTP/HTTPS
- Edge Computing in IoT Networks
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Module 19: IoT Applications and Use Cases
- Edge AI: Bringing Intelligence to IoT Devices
- Federated Learning in IoT Environments
- AIoT: Integration of AI and IoT
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Module 20: Mini Case Studies
FAQ
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Q-01 : What will I receive by completing this Course?
Ans-01 : It is a Certification Programme from IIT-Kharagpur. You will receive the Certificate of Completion. The link for the certificate image is available below: Sample Certificate
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Q-02 : What is the program duration?
Ans-02 : It is a short term programme.
The Course Start Date – January, 2025
Program Duration – 7 months -
Q-03 : Will the classes be held in some specially designated centres in my City or will they be held Online?
Ans-03 : The Course will be delivered Live, Online direct to your Device, (ie. Laptop or Desk top, mobile etc which can be used to access the Internet). The details of the configuration will be available before course commencement.
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Q-04 : Will the classes be held every day? I am a working professional.
Ans-04 : No, the Classes will be held as per schedule only over the weekends. The Class schedules will be published well in advance.
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Q-05 : How will this Course help my Career?
Ans-05 : Successfully completing the Course will enable you to earn a Certificate from IIT Kharagpur. Since the classes will be held over the weekend, it will not disturb your normal professional work either.
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Q-06 : Is the platform fee a one time payment?
Ans-06 : There are installment facilities available.
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Q-07 : Do I have to give an exam to get admission in this Course.?
Ans-07 : No. The Institute has the right to take a final decision on your Application based on all the Documents submitted.
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Q-08 : Who will teach us?
Ans-08 : A reputed Faculty of the Institute will be taking the classes. Apart from that, top Industry specialists will also teach specific topics and you will get Industry Expert’s perspective as well.
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Q-09 : How will the Course Assessment take place?
Ans-09 :Assessments will be through assignments and projects.
Programme Coordinator
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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
Some Thoughts from Our Happy Learners
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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.
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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.
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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.
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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!
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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.
Admission Closes
January 2025
Duration
7 Months
Program Fee
INR 49,900 + 18% GST
Eligibility
Pursuing Graduation/
Graduate
Admission Closes
January 2025
