Initial Course for Students focused on Managing Artificial Intelligence
Level - Intermediate
Prerequisites - None, No Coding knowledge necessary, will be built along with the course.
Duration - 72 Hours
Assessments - Micro Assessment after each Bi-weekly segment, Full Assessment after Midterm, and Completion.
Students will be able to understand and identify Artificial Intelligence from the lens of a manager, and operator to understand key areas of work, failure, and use cases to identify when, where, and how to incorporate artificial intelligence to solve problems from a birds eye view. It combines management principles with practical learning to ensure they understand the working, are able to guide teams, and ensure readiness.
Initial Course for Creative Business Owners, and Professionals Looking to Explore the future of their field with upcoming Artificial Intelligence innovations, there levels in readiness, and the advantages being taken by some houses to achieve record improvements in quality, and time to outcome using Artificial Intelligence. Be at the forefront of your field operation.
Level- Intermediate
Prerequisites - None, No Coding covered, knowledge of AI built in the field.
Duration- 72 Hours
Assessments - Micro Assessment after each Bi-weekly segment, Full Assessment after Midterm, and Completion for Certification.
Students will be able to understand and identify Artificial Intelligence from the lens of a creative professional, and operator to understand key areas of work, failure, and use cases to identify when, where, and how to incorporate artificial intelligence to solve problems and achieve better outcomes in quality, and efficiency in their day to day processes.
This course explores how AI is transforming the fashion industry, from trend forecasting and automated design to inventory management and personalization. Students will learn how to apply AI-driven insights to enhance creativity, optimize supply chains, and create sustainable fashion solutions.
Level- Intermediate
Prerequisites- Basic knowledge of fashion design, textile materials, and data analysis.
Duration- 36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments - Micro Assessment weekly, Full Assessment in the final week.
Students will be able to understand and identify Artificial Intelligence from the lens of a manager, and operator to understand key areas of work, failure, and use cases to identify when, where, and how to incorporate artificial intelligence to solve problems from a birds eye view. It combines management principles with practical learning to ensure they understand the working, are able to guide teams, and ensure readiness.
This course explores how AI is transforming the construction industry by enhancing design, project management, predictive maintenance, and sustainability. Students will learn how AI-driven solutions optimize building efficiency, reduce costs, and improve safety.
Level -Intermediate
Prerequisites - Basic knowledge of construction processes, project management, and data analysis.
Duration -72 Hours
Assessments - Micro Assessment weekly, Full Assessment in the final week.
This course covers AI-driven approaches for talent acquisition, workforce management, employee engagement, and performance analysis. Students will learn how AI optimizes HR functions, enhances decision-making, and improves workplace efficiency.
Level- Intermediate
Prerequisites- Basic understanding of HR principles and workforce management.
Duration- 36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments- Micro Assessment weekly, Full Assessment in the final week.
This course focuses on applying AI techniques in healthcare for improving diagnostics, treatment plans, and patient care. Designed specifically for healthcare professionals, this course provides hands-on training to utilize AI in medical practice.
Level -Intermediate
Prerequisites- Medical background with basic understanding of data and analytics.
Duration- 36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments - Micro Assessment weekly, Full Assessment in the final week.
This course explores AI applications for sustainability, focusing on AI driven solutions for renewable energy, pollution monitoring, and resource management. Specifically designed for environmental scientists and sustainability professionals, it equips them with AI tools toaddress global environmental challenges.
Level -Intermediate
Prerequisites- Background in environmental science or sustainability practices.
Duration- 36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments - Micro Assessment weekly, Full Assessment in the final week.
This course explores AI-driven innovations in the automobile industry, including autonomous vehicles, predictive maintenance, and manufacturing optimization. Tailored for automotive engineers and industry professionals, the course will help students harness AI to transform the automotive sector.
Level - Intermediate
Prerequisites-Background in engineering or automotive technologies.
Duration- 36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments - Micro Assessment weekly, Full Assessment in the final week.
This course delves into AI applications in retail, focusing on customer experience optimization, inventory management, and sales forecasting. Tailored for retail managers, analysts, and e-commerce professionals, the course will provide AI tools to enhance retail operations.
Level-Intermediate
Prerequisites- Background in retail management or e-commerce operations.
Duration-36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments - Micro Assessment weekly, Full Assessment in the final week.
This course explores AI applications in space exploration, from satellite data analysis to autonomous spacecraft navigation. Designed for aerospace engineers and space scientists, the course will equip students with AI skills to innovate in the space industry.
Level - Intermediate
Prerequisites-Background in aerospace engineering or space science.
Duration- 36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments - Micro Assessment weekly, Full Assessment in the final week.
This course focuses on how AI is transforming nursing practices, patient care, and support systems in healthcare. Designed for nurses and healthcare support professionals, the course will explore AI tools to improve patient outcomes and care delivery.
Level -Intermediate
Prerequisites-Nursing background or healthcare support experience.
Duration- 36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments - Micro Assessment weekly, Full Assessment in the final week.
This course covers AI applications in aerospace engineering, focusing on autonomous flight systems, spacecraft design, and performance optimization. Aimed at aerospace engineers and students, the course provides AI-driven insights into improving aviation and space exploration.
Level - Intermediate
Prerequisites-Background in aerospace engineering or aviation technology.
Duration-36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments - Micro Assessment weekly, Full Assessment in the final week.
This course explores how AI enhances architectural design, building management, urban planning, and smart cities. Tailored for architects, urban planners, and construction professionals, the course will empower students to integrate AI into sustainable architecture and urban development.
Level -Intermediate
Prerequisites-Background in architecture, urban planning, or construction.
Duration- 36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments- Micro Assessment weekly, Full Assessment in the final week.
This course examines how AI is transforming agriculture, from crop management and precision farming to pest control and sustainable practices. Aimed at farmers, agricultural engineers, and agricultural technology professionals, the course focuses on AI tools for optimizing agricultural production.
Level - Intermediate
Prerequisites- Background in agriculture, agricultural engineering, or farm management.
Duration- 36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments- Micro Assessment weekly, Full Assessment in the final week.
This course focuses on how AI is used to enhance mental health services, from virtual therapy assistants to predictive analytics for mental health conditions. Designed for mental health professionals and counselors, the course offers practical applications of AI to improve mental health diagnosis and treatment.
Level -Intermediate
Prerequisites-Background in psychology, counseling, or mental health care.
Duration- 36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments -Micro Assessment weekly, Full Assessment in the final week.
This course provides an in-depth understanding of how AI enhances dental healthcare, from diagnostics and treatment planning to patient care. Tailored for dental professionals, this course will equip students with AI tools for optimizing dental practices.
Level -Intermediate
Prerequisites- Background in dentistry or dental healthcare.
Duration-36 Hours (6 Hours per week - 2 Hrs x 3)
Assessments - Micro Assessment weekly, Full Assessment in the final week.
