Programs​

Certified AI Citizen (CAIC) Program

Program Duration : 1 Week

Target Audience : All Employees.

Program Format & Mode : Instructor-guided (online or on-premise); Cohort-based.
Program Objective : Equip everyone with essential AI literacy skills and knowledge to thrive in the future AI economy.
Program Outlinee : 5 Modules: Understanding AI; The Fourth Industrial Revolution; Data; Machine Learning (ML); AI Applications.
Key Outcome : Enhancing employee AI awareness to foster a transformative mindset across the organization

Certified AI Professional (CAIP) Program - 12 Sectors

Program Duration : 1 Week
Target Audience : Managers and department heads
Program Format & Mode : Instructor-guided (online or on-premise); Cohort-based.
Program Objective : Provide managers and department heads with the knowledge and resources to integrate AI in their domains, and identify problem-solving AI use cases.
Program Outlinee : 6 Modules: AI Fundamentals; AI Applications and case studies in [target domain]; Machine Learning Project Management; AI Business Model Canvas; Generative AI for Productivity; Capstone Project.
Key Outcome : Training department heads in AI for identifying domain-specific use cases

Certified Chief AI Officer (CAIO) Program

Program Duration : 1 Week
Target Audience : CXOs, Senior Executives & Forward- thinking professionals.
Program Format & Mode : Instructor-guided (online or on-premise); Cohort-based.
Program Objective : Become AI Leader to craft your organization’s future roadmap, lead new initiatives, and shape the AI future of your Enterprise.
Program Outlinee : 6 Modules: AI Foundations for CAIOs; Advanced AI Technologies; AI Strategy and Leadership; AI Project Management; The Future of AI in Business; Capstone Project.
Key Outcome : Preparing leaders to evaluate AI readiness, develop AI strategies, and spearhead initiatives

Certified Data Scientist (CDS) Program

Program Duration : 3 Months
Target Audience : Designed for students, professionals, and entrepreneurs aiming to enhance their careers in data science and machine learning.
Program Format & Mode : Interactive, project-based online learning led by industry experts; Cohort-based
Program Objective : 12-week program to master Python, ML, data visualization, and more through 20+ hands-on projects
Program Outlinee : 11 Modules: “Introduction to AI & Data Science,” “Python Programming,” “Version Control with Git & GitHub,” “Data Collection,” “SQL & NOSQL Databases,” “Mathematics & Statistics,” “Exploratory Data Analysis,” “Data Visualization,” “Data Preprocessing,” “Machine Learning,” and concludes with “Deep Learning and Model Deployment.”
Key Outcome : The program builds data science skills and assists corporations in establishing their in-house Data Science departments.

Certified ML Engineer (CMLE) Program

Program Duration : 1 Week
Target Audience : Engineers, data scientists, and tech professionals seeking to specialize in machine learning engineering.
Program Format & Mode : Interactive, project-based online learning led by industry experts; Cohort-based
Program Objective : Participants will develop the skills to design, build, and deploy advanced machine learning models, qualifying as ML Engineers.
Program Outlinee : 12 Modules: “Fundamentals of Machine Learning,” “Advanced Python for ML,” “ML Algorithms & Libraries,” “Feature Engineering & Selection,” “Model Evaluation & Optimization,” “Deep Learning Techniques,” “Natural Language Processing,” “Computer Vision Applications,” “Time Series Analysis,” “Deployment & Monitoring ML Systems,” “MLOps & Automation,” “Capstone Project: End-to-End ML System.”
Key Outcome : To impart crucial skills for machine learning engineering, from algorithm application to system deployment.

Full Program Listing (Holistic)

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Individual Program

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