GPMS Transportal Applied AI For Lab Courses

6. AI for Technology Skill Sets & Roles

Computer Vision Fundamentals

44. AI BACKEND WITH FASTAPI: ENHANCING DEVELOPER EFFICIENCY

This course demonstrates how AI can significantly improve backend development workflows, specifically through FastAPI. It focuses on automating routine tasks, enhancing API efficiency, and ensuring scalable and secure deployments, enabling backend developers to focus more on complex problems and innovation.

Level - Intermediate

Prerequisites -Knowledge of backend development with Python.

Duration - 36 Hours (6 Hours per week - 2 Hrs x 3)

Assessments -Weekly micro-assessments, final project.

Computer Vision Fundamentals

45. AI PRODUCT MANAGER: LEADING AI PRODUCT DEVELOPMENT

This course is aimed at product managers and executives who want to learn how AI can be integrated into product development processes. The course focuses on how AI enhances decision-making, prioritization, and optimization of product management workflows, allowing product managers to build more efficient, user-centered AI products.

Level- Intermediate

Prerequisites-Experience in product management, understanding of AI fundamentals.

Duration- 36 Hours (6 Hours per week - 2 Hrs x 3)

Assessments - Weekly micro-assessments, final project.

Computer Vision Fundamentals

46. AI IN IOT: BUILDING INTELLIGENT SYSTEMS

This course explores how AI can revolutionize the Internet of Things (IoT), enabling smarter devices and systems. Ideal for IoT engineers, this course covers how to enhance IoT workflows and devices with AI, making them more autonomous, responsive, and insightful.

Level- Intermediate

Prerequisites-Basic knowledge of IoT and AI fundamentals.

Duration-36 Hours (6 Hours per week - 2 Hrs x 3)

Assessments - Weekly micro-assessments, final project.

Computer Vision Fundamentals

47. AI UI DESIGNER: EMPOWERING CREATIVE PROFESSIONALS

PROFESSIONALS This course explores how AI can enhance the work of designers by automating design processes, improving user experience (UX), and creating more personalized design outputs. Ideal for graphic designers, UX/UI designers, and creative professionals, the course focuses on integrating AI into design workflows to create innovative and efficient solutions.

Level-Intermediate

Prerequisites-Basic understanding of design principles and tools (e.g., Adobe Suite, Sketch, Figma).

Duration-36 Hours (6 Hours per week - 2 Hrs x 3)

Assessments - Weekly micro-assessments, final project.

Computer Vision Fundamentals

48. AI TESTER: REVOLUTIONIZING SOFTWARE TESTING WITH AI

This course is designed for software testers who want to integrate AI into their testing workflows. It focuses on automating the testing process, improving testing accuracy, and identifying bugs more efficiently, ultimately empowering testers to deliver high-quality products faster.

Level-Intermediate

Prerequisites- Basic understanding of software testing methodologies.

Duration-36 Hours (6 Hours per week - 2 Hrs x 3)

Assessments- Weekly micro-assessments, final project.

Computer Vision Fundamentals

49. AI FRONT-END REACT: BUILDING SMART USER INTERFACES

This course is tailored for React developers interested in integrating AI into their front-end development workflows. The course focuses on how AI can be used to enhance user interfaces, improve performance, and deliver personalized experiences, all while optimizing development speed and efficiency.

Level- Intermediate

Prerequisites- Knowledge of React.js and JavaScript.

Duration-36 Hours (6 Hours per week - 2 Hrs x 3)

Assessments - Weekly micro-assessments, final project.

Computer Vision Fundamentals

50. AI BLOCKCHAIN: REVOLUTIONIZING DECENTRALIZED SYSTEMS

This course explores how AI can optimize blockchain technology, improve transaction efficiency, enhance security, and create smarter decentralized applications. Ideal for blockchain developers, the course focuses on integrating AI into blockchain platforms to enable faster, more secure, and more intelligent blockchain solutions.

Level-Intermediate

Prerequisites- Understanding of blockchain and AI fundamentals.

Duration-36 Hours (6 Hours per week - 2 Hrs x 3)

Assessments - Weekly micro-assessments, final project.

Computer Vision Fundamentals

51. AI ROBOTICS: AUTOMATING THE FUTURE OF WORK

This course explores the integration of AI into robotics, focusing on how AI-powered robots can enhance productivity, safety, and automation in various industries. It's designed for robotics engineers and enthusiasts who wish to incorporate AI into their robotic designs and systems.

Level- Intermediate

Prerequisites-Basic knowledge of robotics and programming.

Duration-36 Hours (6 Hours per week - 2 Hrs x 3)

Assessments - Weekly micro-assessments, final project.