Job Role / Course Name – AI – Machine Learning Engineer
Sector – IT-ITeS
Eligibility –UG/ Diploma with courses related to Engg./ Science
Individuals at this job are responsible for developing applications and platforms in AI & Big Data Analytics. They will be responsible for evaluating the technical performance of algorithmic models on the system on which it is being deployed. They will be responsible for developing software code to support the deployment of algorithmic models on those systems. They will need to have strong communication skills to work with stakeholders and decision makers across multiple teams to ensure timely release of applications.
Module 1: Artificial Intelligence & Big Data Analytics – An Introduction
Module 2: Product Engineering Basics
Module 3: Basic Statistical Concepts
Module 4: Development Tools and Usage
Module 5: Performance Evaluation of Algorithmic Models
Module 6: Code Development
Module 7: Inclusive and environmentally sustainable workplaces
Module 8: Introduction to Employability Skills
Module 9: Constitutional values – Citizenship
Module 10: Becoming a Professional in the 21st Century
Module 11: Basic English Skills
Module 12: Career Development and Goal Setting
Module 13: Communication skills
Module 14: Diversity and Inclusion
Module 15: Financial and Digital Literacy.
Module 16: Essential Digital Skills
Module 17: Entrepreneurship
Module 18: Customer Service
Module 19: Getting Ready for Apprenticeship and Jobs
Job Role / Course Name – 3D Printing Operator
Sector – IT & ITES
A 3D printer operator is a competent individual with technical and creative skills in additive manufacturing. They use computer-aided (CAD) software to develop designs to be 3D printed into finished works. 3D Printing technicians assist in the designing and programming of products, ranging from prosthetic products to 3D miniatures. They may also provide 3D printing maintenance, check 3D renders for customers and run 3D printing tests. 3D printing technicians can also repair, maintain and clean 3D printers.
Module 1: Analyze 3D technology for printing
Module 2: Prepare 3D design, digital models, and prototypes
Module 3: Data preparation and printing
Module 4: Operate 3D scanning and printing machinery
Module 5: Conduct servicing and repairing equipment
Module 6: Maintain Workplace Health and Safety
Job Role / Course Name – AI- Data Scientist
Sector – IT & ITES
Individuals at this job are responsible for performing different elements of data science. They are responsible for importing data (public / private, consumer / enterprise) from a variety of internal and external sources. They are responsible for preprocessing the data and performing exploratory analysis on it to derive insights. Their key responsibility is conducting research on different algorithmic models, modifying existing libraries or packages to optimize them and designing new algorithmic models based on requirements. They will need to have strong communication skills to work with stakeholders and decision makers across multiple teams to ensure timely release of applications.
Module 1: Artificial Intelligence & Big Data Analytics – An Introduction
Module 2: Basic Statistical Concepts
Module 3: Advanced Statistical Concepts
Module 4: Statistical Tools and Usage
Module 5: Importing Data
Module 6: Pre-processing Data
Module 7: Exploring Data
Module 8: Data Structures and Algorithms
Module 9: Graph Algorithms
Module 10: String Algorithms
Module 11: Neural Networks AI- Data Scientist
Module 12: Programming for Data Science
Module 13: Applications of pre-designed Algorithms
Module 14: Inclusive and environmentally sustainable workplaces
Module 15: Introduction to Employability Skills
Module 16: Constitutional values – Citizenship
Module 17: Becoming a Professional in the 21st Century
Module 18: Basic English Skills
Module 19: Career Development and Goal Setting
Module 20: Communication skills
Module 21: Diversity and Inclusion
Module 22: Financial and Digital Literacy
Module 23: Essential Digital Skills
Module 24: Entrepreneurship
Module 25: Customer Service
Module 26: Getting Ready for Apprenticeship and Jobs
Elective 1: Identifying Model Risk
Elective 2: Measuring Model Performance
Elective 3: Create Visualizations