Industry 4.0
International Training Program on Clinical Gait Analysis for Surgical Planning and Rehabilitation Using MoCAP Technologies
Registration Fee for all-INR 2000 (Inclusive of GST)
International Training Program on Clinical Gait Analysis for Surgical Planning and Rehabilitation Using MoCAP Technologies
Course ID: TECH070
Major Category: Industry 4.0
What will you learn?
Understand the fundamentals of clinical gait analysis and its importance in diagnosis, surgical planning, and rehabilitation. Explain the principles of Motion Capture (MoCAP) technologies, including marker-based and markerless systems. Identify key gait parameters such as stride length, cadence, joint angles, and their clinical significance. Demonstrate basic operation of MoCAP systems for capturing and analyzing human movement. Interpret gait analysis data to support clinical decision-making in orthopedics and rehabilitation. Recognize applications of gait analysis in pre- and post-surgical evaluation and physiotherapy planning. Gain exposure to real-time case demonstrations using MoCAP technology. Understand data visualization and reporting techniques used in gait analysis. Enhance interdisciplinary knowledge by integrating concepts from biomechanics, healthcare, and technology.Course Modules
1. Advanced Instrumented Gait Analysis: Technologies and Data Integration 2. Gait Analysis: A Brief History of Tomorrow 3. Pathological Gait Patterns and Quantitative Clinical Indices 4. Clinical Gait Analysis for Surgical Planning and Post-Surgical Evaluation 5. MoCAP-Based Joint Mechanics for Performance Optimization and Injury Prevention 6. Joint Movements and Biofeedback 7. Future Directions in Clinical and Sports Motion AnalyticsSalient Features
Resources: Dr. Oren Tirosh, RMIT Australia Dr. Atul Bhaskar – Director, St. Xaviors Gait Lab, Mumbai Dr. Chasanal Rathod - Consultant, St. Xaviors Gait Lab, Mumbai Mr. Scott Selbie, CEO, HAS-Motion Inc.Number of Hours: 8
Contact Email: chennai.asstdircehma@vit.ac.in
Contact Person: Dr.Edward Jero
Contact Number: 9486874708
AI Tools for business Excellence
Managers, team leads, functional experts, innovation / digital teams, HR & L&D, and anyone expected to use or supervise AI tools at work. (No programming background required.)
AI Tools for business Excellence
Course ID: TECH069
Major Category: Industry 4.0
What will you learn?
Foundations & Responsible Adoption https://tinyurl.com/VIT-QCFI-AICourse Modules
AI, GenAI & Copilots – in simple terms What today’s AI can and cannot do How LLMs work (without the maths) High-impact business use cases AI for email, reports, proposals & documentation Use cases in HR, finance, marketing, operations, R&D, customer support Risks, failures & real-world pitfalls Hallucinations, bias, copyright & data-privacy concerns What can go wrong when staff use public AI tools Corporate Do’s & Don’ts for AI tools Drafting an internal AI usage guideline Sample policies and approval workflows Interactive ice-breaker lab Participants try curated prompts on common workplace scenariosSalient Features
Advanced Prompting for Productivity Frameworks for effective prompts Templates for emails, meeting notes, brainstorming, SOPs, code review, etc. Hands-on Labs with Enterprise AI Tools Working with secure chatbots & copilots Document assistants, slide generators, low-code automation demos AI for Analytics & Decision Support Summarising large documents and datasets Comparing options, generating scenarios, building checklists AI Governance & Organisational Guardrails Role of leadership, IT, legal & HR Simple governance model for responsible AI roll-out Roadmap & Networking Session Each team identifies top 3 AI use cases to pilot Q&A, experience sharing, feedback and next stepsNumber of Hours: 16
Contact Email: angalaeswari.s@vit.ac.in
Contact Person: S.Angalaeswari
Contact Number: 09841812993
Session Dates:
Computational Fluid Dynamics (CFD)
Computational Fluid Dynamics (CFD)
Computational Fluid Dynamics (CFD)
Course ID: TECH068
Major Category: Industry 4.0
What will you learn?
Learn to understand, practice, and apply CFD methods across a broad range of automotive applications include external aerodynamics, Thermal Management, etc.Course Modules
The course is designed to teach how to set-up, solve and postprocess Computational Fluid Dynamics (CFD) problems and gain insight into the flow physics of your CFD applications in automotive industries.Salient Features
•Industry need based contents •Hands-on sessions •Case studies •Certification of Completion •TutorialsNumber of Hours: 15
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 7358782571
Session Dates:
GenAI Tools for Smart Work
GenAI Tools for Smart Work
GenAI Tools for Smart Work
Course ID: TECH067
Major Category: Industry 4.0
What will you learn?
Using large language Models (LLMs) , one can improvise their working culture into a smart working environment, thereby saving many burning hours. They can be even more productive from this smart handling.Course Modules
Easy Presentation using slide shows Enhancing task and schedules Breaking requirements into easy chunks Elegant Code writer Effective project management skills Vibrant video presentationsSalient Features
Hands-on sessions Live interactive Activities Case-Studies Smartify Two Live Quiz Live Assignments Resource Materials Certification of CompletionNumber of Hours: 15
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 7358782571
Session Dates:
Reliability Engineering
Elevate the performance of your company with our Reliability Engineering program
Reliability Engineering
Course ID: TECH061
Major Category: Industry 4.0
What will you learn?
Study the various failure distribution methods and learning about how to implement these methods for failure rate modelling. How to determine the reliability of various system. Learn about various models of reliability, maintainability and availability. Study of various empirical methods for data collection and their application for Reliability estimation.Course Modules
Study of failure distribution and failure rate models Study of Reliability and maintainability, Concepts Determination of reliability of different systems Different models of reliability, maintainability and availability Different empirical methods for data collection and Reliability estimationSalient Features
Comprehensive Foundation System Assessment Versatile Model Proficiency Data-Driven ExpertiseNumber of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 7358782571
Session Dates:
Scientific Computing and Machine Learning using Python
Scientific Computing and Machine Learning using Python
Scientific Computing and Machine Learning using Python
Course ID: TECH060
Major Category: Industry 4.0
What will you learn?
Coding from scratch. Decision making. Scipy and Numpy modules. Regression types.Course Modules
Python Fundamentals. Control Statements and Data Structures. Functions, Classes and File Handling. Scientific Computing. Machine Learning.Salient Features
Hands-on sessions using IDLE. Resource Materials. Certification of Completion. Tutorials.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 7358782570
Tableau (Advanced Level)
Unleash the power of data visualization with our Advanced-Level Tableau course - transform raw data into actionable insights effortlessly
Tableau (Advanced Level)
Course ID: TECH059
Major Category: Industry 4.0
What will you learn?
What tableau is and the product suite Connect and manage data sources Building interactive dashboards Geographic visualizations Arithmetic, logical LOD calculations Advanced Tableau charts In-house projectCourse Modules
Dashboard Preparation Story Telling Tableau prep Integration of TableauSalient Features
Learning experience from best resources. Hands-on training with real-time applications. Structured program flow with dedicated supportNumber of Hours: 15
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 7358782571
Session Dates:
Full stack Development (Advanced Level)
Master front-end and back-end skills to unlock limitless innovation
Full stack Development (Advanced Level)
Course ID: TECH055
Major Category: Industry 4.0
What will you learn?
Learn the complete web development process. Experience and develop a strong foundation in web development and learn popular tools like Java, Spring, MongoDB, JavaScript, React, Docker and Jenkins. Learn to use Git for version control, manage repositories, and handle branching and merging workflowsCourse Modules
Jenkins, Docker, AWS, Ansible, Maven, Jenkins Pipeline, CI/CD, SecuritySalient Features
Resource Materials. Hands-on using Training. Job focused Curriculum. Hackathon & Coding ChallengesNumber of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 7358782571
Tableau (Intermediate Level)
Unleash the power of data visualization with our Intermediate - Level Tableau course - transform raw data into actionable insights effortlessly
Tableau (Intermediate Level)
Course ID: TECH058
Major Category: Industry 4.0
What will you learn?
What tableau is and the product suite Connect and manage data sources Building interactive dashboards Geographic visualizations Arithmetic, logical LOD calculations Advanced Tableau charts In-house projectCourse Modules
Organizing Data Visual Analytics Mapping Concepts Calculations and Expressions Working with parameter Interactive DashboardSalient Features
Learning experience from best resources. Hands-on training with real-time applications. Structured program flow with dedicated support.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 7358782571
Session Dates:
Full stack Development (Intermediate Level)
Master front-end and back-end skills to unlock limitless innovation
Full stack Development (Intermediate Level)
Course ID: TECH054
Major Category: Industry 4.0
What will you learn?
Learn the complete web development process. Build an end-to-end MongoDB, Express JS, Angular JS, Node Js stack application. Learn how to build user interfaces with Angular, building APIs with Express, exploring the basics of TypeScript, Setting up a server with Node .js. You will create and design Rest APIs and leverage MongoDB to store your data in a highly scalable, flexible, and distributed NoSQL database. Finally, you will deploy a scalable and dynamic application.Course Modules
JavaScript, JQuery, JSON, Angular JS, Node JS, React Framework, Express JSSalient Features
Resource Materials. Hands-on using Training. Industry level Curriculum. Real Life Case Study, Build your PortfolioNumber of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 7358782571
Session Dates:
Tableau (Beginner Level)
Unleash the power of data visualization with our Beginner-Level Tableau course - transform raw data into actionable insights effortlessly
Tableau (Beginner Level)
Course ID: TECH057
Major Category: Industry 4.0
What will you learn?
What tableau is and the product suite Connect and manage data sources Building interactive dashboards Geographic visualizations Arithmetic, logical LOD calculations Advanced Tableau charts In-house projectCourse Modules
The Power of Tableau and Data Tableau Architecture Charts and Graphs Metadata and Data Blending Data Manipulations Filters in Tableau Simple Dash BoardsSalient Features
Learning experience from best resources Hands-on training with real-time applications Structured program flow with dedicated supportNumber of Hours: 15
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 7358782571
Session Dates:
Full stack Development (Beginner Level)
Master front-end and back-end skills to unlock limitless innovation
Full stack Development (Beginner Level)
Course ID: TECH053
Major Category: Industry 4.0
What will you learn?
Learn the complete web development process. Experience and develop fully working applications that can be used on cross-platforms. This course introduces you to the fundamentals of web development, HTML, CSS, and JavaScript to create expressive and dynamic websites; Build an end-to-end complete web application including frontend, backend, and database management. Learn to test code, deploy code, and store data efficientlyCourse Modules
HTML 5, CSS, PHP, State Management, MySQL, PHP OOP, S.O.L.I.D, MongoDBSalient Features
Resource Materials. Hands-on using Training. Flexible Requirement-based Curriculum. Cross Browser Compatibility, Optimized for Search EnginesNumber of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 7358782571
Session Dates:
Computational Fluid Dynamics – Foundation Course
Taking Theory to Practice
Computational Fluid Dynamics – Foundation Course
Course ID: TECH067
Major Category: Industry 4.0
What will you learn?
Understand problem and get important parameters. Setup and Analyse the fluid problem using different CFD tools. Validating the CFD results with experimental data. Able to simulate the fluid problem from start to end results.Course Modules
Overview of CFD – Concepts to Applications. Finite Volume Discretization. Preprocessing, Solving and Post. Proceesing using CFD tools – Hands-on. Turbulence modeling – Overview.Salient Features
Simulation. Hands-on sessions using different CFD tools. Case-studies. Resource Materials. Tutorials. Certification of Completion.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Power Query and Interactive Dashboards
Power Query
Power Query and Interactive Dashboards
Course ID: TECH065
Major Category: Industry 4.0
What will you learn?
Power of Data Analytic Tools - ETL Tools. Handling Power Query Editor. Vitality of Pivot tables and pivot Charts. Preparing Interactive Dashboards.Course Modules
Data Cleaning and Pre-processing Data Transformation Tactics... Data Loading to Power Query Editor. Pivot tables and Pivot Charts. Interactive Dashboards. Dashboards linked to Geographical Maps. Dashboard interaction Between Excel and Powerpoint.Salient Features
Hands-on sessions Exposure to Handling large Data Volumes Case-Studies Geographical Mapping of Country, State, Area Two Live Quiz Live Assignments Resource Materials Certification of Completion TutorialsNumber of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Power Business Intelligence [Power BI] and Interactive Dashboards
Power BI
Power Business Intelligence [Power BI] and Interactive Dashboards
Course ID: TECH064
Major Category: Industry 4.0
What will you learn?
Power of Data Analytic Tools - ETL Tools. Handling Power Query Editor. Vitality of Pivot tables and pivot Charts. Preparing Interactive Dashboards.Course Modules
Software As a Service [SAAS]. Data Cleaning and Pre-processing. Data Transformation Tactics. Data Loading to Power Query Editor. Pivot tables and Pivot Charts. Interactive Dashboards.Salient Features
Online/Offline. Lectures, Activities and Assignments. Case studies Certification of Completion.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
5GB
5G & Beyond
5GB
Course ID: TECH066
Major Category: Industry 4.0
What will you learn?
5G NR Physical Layer. 5G MIMO Beam-forming. 5G NR (3GPP) Path-loss Model. 5G Handover.Course Modules
Basics of Communications & Underlying Technologies. Architecture of 5G. 5G Use-cases/Applications with IOT.Salient Features
Simulation/Emulation in network simulators. Hands-on sessions on Software & Hardware Tools like NS2, NS3, NETSIM 13.1, MATLAB. Case-studies. Resource Materials. Certification of Completion. Tutorials. Lab sessions.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Training for PMP (Project Management Professional) certification
Project Management for Professionals
Training for PMP (Project Management Professional) certification
Course ID: TECH040
Major Category: Industry 4.0
What will you learn?
Project Management. Resource Management. Risk Management. Risk Analysis.Course Modules
Terminologies & Project Life Cycle. Integration Management. Scope & Schedule Management. Cost, Quality & Resource Management. Communications & Risk Management. Procurement & Stakeholder Management.Salient Features
Certification. Industry based training. Realtime problem statements. Hands on training on software. Cost analysis.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Training for CAPM (Certified Associate in Project Management)
Project Management for Professionals
Training for CAPM (Certified Associate in Project Management)
Course ID: TECH039
Major Category: Industry 4.0
What will you learn?
Project Management. Resource Management. Risk Management. Risk Analysis.Course Modules
Terminologies & Project Life Cycle. Integration Management. Scope & Schedule Management. Cost, Quality & Resource Management. Communications & Risk Management. Procurement & Stakeholder Management.Salient Features
Certification. Industry based training. Realtime problem statements. Hands on training on software. Cost analysis.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Session Dates:
Embedded System Basics
Hardware and Software integration
Embedded System Basics
Course ID: TECH025
Major Category: Industry 4.0
What will you learn?
Introduction of Embedded system. Interfaces. Design metrics. Embedded product development life cycle.Course Modules
Introduction to Embedded System. Introduction to Microprocessor and Micro controller. Sensors and Actuators. ADC and DAC. Communication Interfaces. Power supplies and RTC.Salient Features
Course Materials. Certification of Completion. Tutorials.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Session Dates:
Cyber security
Beginner to Advanced
Cyber security
Course ID: TECH024
Major Category: Industry 4.0
What will you learn?
Baseline understanding of common cyber security threats, vulnerabilities, and risks. (DDOS) and botnet- attacks. High-engagement learning experience with real-world applications.Course Modules
Cyber Laws & Threats. Cyber Security and its Types. Block chain Theory-Distributed Ledger. Cyber-Attack to Block Chain. Crypto currency security and reliability.Salient Features
Simulation. Hands-on sessions. Exposure to Testing Standards. Case-studies. Resource Materials. Certification of Completion. Tutorials. Lab sessions using cyber attack tools, Ethereum, Hyperledger.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Session Dates:
Information security
Learn and Apply
Information security
Course ID: TECH023
Major Category: Industry 4.0
What will you learn?
Cryptography. Database Security. Threats in Network. Administering Security.Course Modules
Introduction to Computer Security. Encryption Standards. Database Security. Security in Network. Administering Security.Salient Features
Simulation. Hands-on sessions. Exposure to cryptographic Algorithms. Case-studies. Resource Materials. Certification of Completion. Tutorials. Lab sessions.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Session Dates:
Fluid Power Systems
Fundamentals to Advanced level
Fluid Power Systems
Course ID: TECH022
Major Category: Industry 4.0
What will you learn?
Fundamentals of fluid power system design (both hydraulics and pneumatics). Various fluid power sources, actuators and control valves and its properties. Design and develop fluid power circuits for different application. Maintenance and Troubleshooting in fluid power circuits.Course Modules
Fundamentals. Power Sources. Actuators and Control Valves. Fluid Power Circuit Design. Maintenance and Troubleshooting.Salient Features
Hands-on sessions. Case-studies. Resource Materials. Design and Simulation of various Fluid Power Systems using FluidSim and Automation Studio.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Session Dates:
Data Analytics and Machine Learning (Advanced Level)
Advance your career with this comprehensive data analytics & Machine Learning Tool
Data Analytics and Machine Learning (Advanced Level)
Course ID: TECH021
Major Category: Industry 4.0
What will you learn?
Apply knowledge representation with Statistical Modelling and Analysis of case study. Identify and apply appropriate machine learning models for analysing the data for a variety of problems. Implement different algorithms for business intelligence.Course Modules
Data modeling. Big data and Analytics. Methodologies and Applications. Real time Analytics. Statistical Modeling and Analysis. Case study. Business Intelligence of Machine Learning.Salient Features
Hands-on sessions. Case-studies- real time examples. Resource Materials. Lab sessions using Hadoop, Hbase, Nosql Databases. Certification of Completion.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Data Analytics and Machine Learning (Intermediate Level)
Advance your career with this comprehensive data analytics & Machine Learning Tool
Data Analytics and Machine Learning (Intermediate Level)
Course ID: TECH020
Major Category: Industry 4.0
What will you learn?
Understand different methodologies to create application using statistical models. Design the test procedures to assess the efficacy of the developed model. Predictive analytics is an area of statistics that deals with extracting information from data and using it topredict trends and behavior patterns.Course Modules
Predictive Analytics. Descriptive Analytics. Text Analytics. Survival Analytics. Social Media Analytics. Machine Learning Models and Statistical Learning.Salient Features
Hands-on sessions. Case-studies-Applications and Trends. Resource Materials. Lab sessions using Predictive, Sentiment analysis, Social network learning , Statistical Analysis of Well-Posed Machine Learning Problems. Certification of Completion.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Session Dates:
Data Analytics and Machine Learning (Begineers Level)
Advance your career with this comprehensive data analytics & Machine Learning Tool
Data Analytics and Machine Learning (Begineers Level)
Course ID: TECH019
Major Category: Industry 4.0
What will you learn?
To understand fundamental concepts of Data analytics machine learning and its various algorithms. To apply ML algorithms on given data and interpret the results obtained. To design appropriate ML solution to solve real world problems in Data Analytics domain.Course Modules
Data Engineering and its Challenges. Data Analytics: An Overview. Data collection Sampling and Pre-processing. Methods and Techniques in Analytics. Example Applications. Foundation of Machine Learning.Salient Features
Hands-on sessions. Case-studies. Resource Materials. Lab sessions using Regression, Classification, Cluster model. Certification of Completion.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Session Dates:
Data Analytics and Visualization (Advanced Level)
Experiential Learning in data analytics throw Visualization Tool
Data Analytics and Visualization (Advanced Level)
Course ID: TECH018
Major Category: Industry 4.0
What will you learn?
Data models in Cloud and Hadoop Distributed File system. Real time case studies and models. Complex Visualization techniques and Statistical Tests.Course Modules
Data modelling. Big data and Analytics. Methodologies and Applications. Real time Analytics. Statistical Modelling and Analysis. Case study. Applications and Computer Visualization.Salient Features
Data Modelling in cloud platforms. Hands-on sessions in Hadoop & Kafka. Real time Examples. Case-studies. Certification of Completion. Resource Materials. Tutorials. Lab sessions using Hadoop, AWS, NLP Modelling, Dynamic Streaming with Kafka, 3D visualization.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Data Analytics and Visualization (Intermediate Level)
Experiential Learning in data analytics throw Visualization Tool
Data Analytics and Visualization (Intermediate Level)
Course ID: TECH017
Major Category: Industry 4.0
What will you learn?
Different kinds of Analytics and Modelling. Metrics and Evaluation of Models. Visualizing the Inferences using Tools and Notations.Course Modules
Predictive Analytics. Descriptive Analytics. Text Analytics. Survival Analytics. Social Media Analytics. Inferential Visualization.Salient Features
Exploring different Analytics Models. Hands-on sessions. Real time Examples. Case-studies. Certification of Completion. Resource Materials. Tutorials. Lab sessions using R, Python, Tableau, Power BI, BI tools, ETL tools.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Session Dates:
Data Analytics and Visualization (Begineer Level)
Experiential Learning in data analytics throw Visualization Tool
Data Analytics and Visualization (Begineer Level)
Course ID: TECH016
Major Category: Industry 4.0
What will you learn?
Foundation and Issues in Data Analytics. Methods and Techniques in DA. Introduction to Data Visualizations.Course Modules
Data Engineering and its Challenges. Data Analytics: An Overview. Data collection Sampling and Pre-processing. Methods and Techniques in Analytics. Example Applications. Foundations of Data Visualizations.Salient Features
Designing and Modelling. Hands-on sessions. Real time Examples. Case-studies. Certification of Completion. Resource Materials. Tutorials. Lab sessions using R, Python, Tableau, Power BI.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Robotic Welding
Taking Theory to Practice
Robotic Welding
Course ID: TECH015
Major Category: Industry 4.0
What will you learn?
Programming of robot. Robot Welding. Simulation of welding process. Influence of weld path.Course Modules
Introduction to welding and robots. Robot programming. Robots application in welding process. Simulation of welding processes. Contemporary issues.Salient Features
Simulation. Hands-on sessions. Exposure to Welding Standards. Case-studies. Resource Materials. Certification of Completion. Tutorials. Lab sessions using ABB studio, Workspace LT and Simufact Welding.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Programmable Logic Controllers
Automation For Future
Programmable Logic Controllers
Course ID: TECH014
Major Category: Industry 4.0
What will you learn?
Understanding I/O section in PLCs . Programming PLCs. Ladder Programming. Programming Timer, Counter & Internal Relay. HMI and SCADA.Course Modules
PLC Hardware Components. Basics of PLC Programming. PLC wiring diagrams and Ladder Logic Programs. Programming Timers, Counters and Internal Relays.Salient Features
Hands on training in PLC. Mini Projects. Certification of Completion.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Session Dates:
Intelligent Robotic Systems
Robotics and Artificial Intelligence
Intelligent Robotic Systems
Course ID: TECH013
Major Category: Industry 4.0
What will you learn?
Fundamentals of Robotics. Kinematics, Dynamics, path planning and Control of Robots. Applications of intelligent agents in robotics systems.Course Modules
Robotics Fundamentals. Kinematics & Dynamics. Robotic Perception. Intelligent System Design, Cognition Development and control. Path Planning and Navigation Systems.Salient Features
Simulation. Hands-on sessions. Case-studies. Resource Materials. Certification of Completion.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Session Dates:
Robotics Simulation
Taking Theory to Practice
Robotics Simulation
Course ID: TECH012
Major Category: Industry 4.0
What will you learn?
Why and What is ROS? Industrial application and advantages over other software packages related to robotics. Learning visualization tool (example: picking up object by vision through ROS). Modelling of different types of robot in simulator. MATLAB robotic toolbox to interface ROS and Simulink. How industrial robotics operation can be simulated.Course Modules
Installation guidelines, Understanding ROS Basics. URDF (Build Robot), Rviz. Learning Simulator like Gazebo VREP. MATLAB Robotic Toolbox. ABB robotics. Webots.Salient Features
Hands-on Sessions. Simulation. Certification of Completion.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Session Dates:
AI & Machine Learning with Python Advanced Level)
Experiential Learning in AI and Machine Learning Tool through Python
AI & Machine Learning with Python Advanced Level)
Course ID: TECH011
Major Category: Industry 4.0
What will you learn?
Apply fuzzy logic concepts with artificial intelligence using Python. Identify and apply appropriate ML models for analysing the data for a variety of problems. Implement different algorithms for business intelligence.Course Modules
Advance Artificial Intelligence concepts. Business Intelligence of Machine Learning.Salient Features
Case studies. Different applications of AI and ML projects using Python like Face Mask. Recognition system using TensorFlow and Kera’s. IMDb Movie Analysis. Uber supply demand gap analysis. Image captioning. Social media listening. Interactive market campaign analysis.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Session Dates:
AI & Machine Learning with Python (Intermediate Level)
Experiential Learning in AI and Machine Learning Tool through Python
AI & Machine Learning with Python (Intermediate Level)
Course ID: TECH010
Major Category: Industry 4.0
What will you learn?
Understand different methodologies to create application using statistical models in ML . To learn concepts of AI Knowledge Representation and Reasoning . Gain hands-on experience in data pre-processing, time series, text mining, and supervised and unsupervised learning.Course Modules
Artificial Intelligence Knowledge Representation and Reasoning. Machine Learning Models and Statistical Learning. Hands-on using Python.Salient Features
Exploring different Analytics Models. Resource Materials. Hands-on sessions.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Session Dates:
AI & Machine Learning with Python (Beginner Level)
Experiential Learning in AI and Machine Learning Tool through Python
AI & Machine Learning with Python (Beginner Level)
Course ID: TECH009
Major Category: Industry 4.0
What will you learn?
Understand the basic concepts of AI and Machine Learning. Understanding how to build and validate models and improve them iteratively. This artificial intelligence basics program is designed to offer an overview of AI concepts & workflows, along with the fundamentals of machine learning and performance metrics.Course Modules
Foundation of Artificial Intelligence. Foundation of Machine Learning. Hands-on using Python.Salient Features
Resource Materials. Hands-on using Python.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Session Dates:
Responsible AI for the Data-Driven Industries
Industrial AI for a progressive world
Responsible AI for the Data-Driven Industries
Course ID: TECH008
Major Category: Industry 4.0
What will you learn?
Introduction to Statistical Learning, Machine Learning, Deep Learning, Reinforcement Learning, Federated Learning and Continual Learning. Case studies for AI Integration in Manufacturing Industry, Health care, Product Development and Service-based IndustriesCourse Modules
Statistical Learning. Machine Learning. Deep Learning. Reinforcement Learning. Federated Learning. Continual Learning.Salient Features
Simulation. Hands-on sessions. Case-studies. Resource Materials. Certification of Completion. Tutorials. Lab sessions.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Session Dates:
Machine Learning from Scratch
Mastering Machine Learning Algorithms
Machine Learning from Scratch
Course ID: TECH007
Major Category: Industry 4.0
What will you learn?
Learn the concepts of Python, Statistics for Machine learning, Math behind ML Algorithms. Implement Real World Projects with Proof Of Concept. Real time case studies with python Notebooks.Course Modules
Introduction to Python. Applied Statistics. Supervised Learning. Unsupervised Learning. Ensemble Techniques.Salient Features
Hands-on sessions. Exposure to Real time Projects. Case-studies. Resource Materials. Certification of Completion. Tutorials. Lab sessions using Python.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
AI and ML for Computational Design and Manufacturing
Incorporating Intelligence in Mechanical Systems
AI and ML for Computational Design and Manufacturing
Course ID: TECH006
Major Category: Industry 4.0
What will you learn?
Insight about AI and ML applications in design and manufacturing. Data analytics, different AI techniques and machine learning models. AI augmented simulations and analysis.Course Modules
Data Analytics. Artificial Intelligence and Machine Learning Algorithms. AI based design, simulation and analysis Predictive analytics. AI and ML applications in manufacturing.Salient Features
Hands-on sessions. Case-studies. Data Analytics, AI and ML development using MATLAB and LabVIEW. Certification of Completion.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Session Dates:
Predictive Maintenance in Industry 4.0
Fundamentals to Applications
Predictive Maintenance in Industry 4.0
Course ID: TECH005
Major Category: Industry 4.0
What will you learn?
Basics about Industry 4.0. Component of Industry 4.0. Predictive maintenance algorithm. Real-world applications.Course Modules
Industry 4.0 fundamentals. IIoT and Communication Protocols. Sensing, Data Collection and Processing. Data Analytics and Machine Leaning. Predative Analytics and Maintenance. Fault Diagnostics.Salient Features
Hands-on sessions. Case-studies. Resource Materials. Data Analytics, AI and ML development using MATLAB and LabVIEW. Certification of Completion.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Digital Tools for Industry 4.0
Explore Digital Transformation in Manufacturing Sector
Digital Tools for Industry 4.0
Course ID: TECH004
Major Category: Industry 4.0
What will you learn?
Digitalization of Manufacturing Sector. Intelligent Technologies for Industry 4.0. Concepts of digital manufacturing and industrial automation. Application of digital tools in Industries.Course Modules
Factory Automation – Digital transformation. Industry 4.0 and Connected Machines. AR, VR and Digital Twins. Data Analytics, AI and ML in Manufacturing. Design Tools for Additive Manufacturing.Salient Features
Factory automation demonstrations using Siemens TIA Portal. Data Analytics, AI and ML development using MATLAB and LabVIEW. Design for 3D printing using Fusion 360, Netfabb, Meshmixer, Cura, Simplify3D Certification of Completion.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Session Dates:
Additive Manufacturing for Biomedical
Ortho -Anatomical Modeling and Surgical Planning
Additive Manufacturing for Biomedical
Course ID: TECH003
Major Category: Industry 4.0
What will you learn?
Patient-matched anatomical models from medical imaging studies (CT/MRI). Models for surgical preparation, training, and simulation (e.g. pediatric cardio, conjoined twins). Models for teaching or training purposes (“off-the-shelf” models). Models for communicating with patient, parents, and colleagues (e.g. scoliosis model). Simulation/Demo models to test fit and fixation of a device(e.g. stent deployment, implant sizing). software environment (The 3D printed items are brought into operating room.) Guides that mark without cutting or injection.Course Modules
Image Processing Software, Imaging protocols. Selecting - 3D Printing/Additive Manufacturing Technology/Materials. Cleaning and Sterilization. Model Accuracy. Multi-Materials Color.Salient Features
Salient Features Hands-on sessions on AM Technologies. Hands on training on the workflow of editing CT/MRI images to make them 3D Printable STL files. Training on Preprocessing and Post processing. Exposure to Testing Standards. Case-studies. Resource Materials. Certification of Completion.Number of Hours: 20
Contact Email: deancc.sponresearch@vit.ac.in
Contact Person: Dean, SpoRIC
Contact Number: 73587 82571
Session Dates:
Additive Manufacturing for Automotive Industries
Prototype to Batch Production
Additive Manufacturing for Automotive Industries