Overview

Google, IBM & Meta Certificates – 40% Off

One plan covers every Professional Certificate on Coursera.

This course provides a deep dive into AI’s role in web development, focusing on governance frameworks, ethics, and compliance. Learners will understand the importance of trust, risk management, and ethical considerations when implementing AI in web environments. The course also explores cutting-edge AI technologies, including neuro-symbolic AI, VR/AR, and conversational interfaces, helping learners stay ahead in the rapidly evolving field of AI-powered web development. What sets this course apart is its combination of theoretical knowledge and practical application, ensuring that learners are equipped to navigate both ethical dilemmas and technological advancements. This course is perfect for web developers, AI enthusiasts, and professionals looking to integrate AI in web projects. Prior knowledge of web development and AI concepts will be helpful, though not required. This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

Syllabus

Guardians of the Digital Realm – Navigating Trust, Risk, and Ethics in AI

This module explores the ethical principles, risk management strategies, and governance frameworks essential for responsible AI development. Learners will discover how to apply ethical concepts, implement TRiSM (Trust, Risk, and Security Management), and align AI initiatives with international standards to create business value. The content emphasizes practical steps for ensuring transparency, fairness, and continuous improvement in AI systems.

Next-Gen Development Environments and Advancements in AI Technologies

This module explores the latest trends in software development environments, including the adoption of GitOps, cloud-based workflows, and advanced AI technologies such as neuro-symbolic AI and federated machine learning. Learners will gain practical insights into collaboration best practices, cloud tools, and the challenges of implementing cutting-edge AI solutions. By the end, participants will be equipped to navigate and leverage next-generation development tools and methodologies.

Emerging Realities and Interfaces

This module explores the integration of emerging technologies such as virtual and augmented reality, as well as conversational user interfaces (CUIs), into modern web development. Learners will discover how to leverage frameworks for VR/AR, design engaging conversational experiences, and refine interfaces through testing and iteration. Emphasis is placed on creating intuitive, emotionally resonant user interactions using advanced tools and techniques.

AI Regulation and Governance – Compliance with the EU's AI Act and ISO/IEC 42001 Standards

This module explores the principles and practices of AI regulation and governance, focusing on compliance with the EU's AI Act and ISO/IEC 42001 standards. Learners will examine risk classification, governance frameworks, and strategies for managing and auditing AI systems to ensure ethical and regulatory alignment. Practical approaches to continuous improvement and deployment in AI management are also covered.