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Learning Outcome

• Understand core intellectual property concepts in software and AI-generated code.
• Analyse the challenges of authorship and ownership in vibe coding and collaborative AI environments.
• Evaluate open-source and proprietary licensing models in the context of emerging technologies.

• Apply legal frameworks and copyright doctrines to real-world software development scenarios.
• Navigate privacy, liability, and data protection concerns in AI-driven innovation and deployment.
• Evaluate the ethical and legal aspects of AI-generated code within IP frameworks.

• Understand the fundamental principles of ChatGPT and how it works.
• Master prompt engineering techniques to create high-quality, targeted content.
• Apply ChatGPT in blogging, copywriting, and book creation to produce compelling and engaging material.
• Analyze and troubleshoot common issues with ChatGPT and understand its limitations.
• Implement ChatGPT for business applications, such as marketing ads, business planning, and productivity enhancement.

Sneak Peek

https://youtu.be/0itY8yvU-9chttps://vimeo.com/1090387788?share=copy#t=0

Course Overview

Intellectual Property and Copyright Law for AI-Generated Software is a comprehensive bundle designed to help technology professionals, legal practitioners, and decision-makers navigate the rapidly evolving legal landscape surrounding AI-driven software development. As artificial intelligence transforms how code is generated, attributed, licensed, and monetised, traditional intellectual property principles are being tested in unprecedented ways. This course provides a structured and practical exploration of how copyright, patents, trade secrets, licensing frameworks, and international treaties apply to AI-generated creations.

Learners begin with foundational principles of intellectual property rights in software, tracing the historical evolution of copyright and the concept of authorship. The course then explores the legal complexities of AI-generated code, including challenges in attribution, collaborative human–AI authorship, and the copyrightability of machine-generated outputs. Through case studies and legal analysis, participants examine disputes, liability questions, and emerging jurisprudence shaping the future of software ownership.

The bundle provides in-depth coverage of open-source and proprietary licensing, cross-border licensing issues, monetisation strategies, and contractual safeguards in AI development agreements. It addresses GDPR compliance, data protection, privacy considerations, consumer protection risks, and accountability for defective AI systems. Learners also explore patentability of AI innovations, trade secret protection, NDAs, and enforcement strategies in global digital markets.

Emerging technologies such as blockchain, virtual reality, IoT, and machine learning models are examined through an intellectual property lens, alongside discussions on regulatory reform, international harmonisation challenges, and policy proposals for AI governance. By the end of this course, learners will be equipped to assess legal risks, draft effective licensing strategies, protect AI-driven innovations, and contribute to building an IP-conscious technology ecosystem prepared for future regulatory developments.

Who Is This Course For?

• Software Developers and AI Engineers
• Technology Entrepreneurs and Startup Founders
• Intellectual Property Lawyers
• In-House Legal Counsel
• Compliance and Risk Professionals
• Product Managers in AI-Driven Companies
• Technology Consultants
• Policymakers and Regulatory Advisors

Requirements

• No formal prerequisites required
• Basic understanding of software development concepts is beneficial

Course Instructor

Dr. Peter Alkema

Dr. Peter Alkema is a highly accomplished leader in Digital Transformation and Architecture, with extensive experience in both the corporate and academic spheres. Over the course of his career, he has garnered recognition as the Gartner CIO of the Year in 2016 and has been featured on CNBC Africa. Dr. Alkema is also the founder and leader of South Africa’s largest banking hackathon, which was later published as a case study by Harvard Business School in 2019.

With a passion for technology, business, and self-development, Dr. Alkema has taught over 100,000 students across various disciplines. His academic journey culminated in a PhD from Wits University in Johannesburg in 2020, where he introduced a pioneering theory on Agile software development teams.

In addition to his work in digital transformation and academia, Dr. Alkema authored a woodworking book in 2014, which sold over 10,000 copies, showcasing his diverse expertise.

Driven by a commitment to providing impactful education, Dr. Alkema’s goal is to empower professionals and learners to embrace the future of technology and business. His courses are designed to offer clear, concise, and actionable insights, helping students gain the confidence and knowledge they need to succeed in today’s fast-evolving landscape.

Accreditation

This course is accredited by CPDQE. The demand for professionals to engage in Continuing Professional Development is escalating, irrespective of the industry, career stage, or job function. CPD serves as an impactful mechanism for skill enhancement, maintaining the relevance of academic credentials, and strategically advancing one’s career. 

This CPDQE Certified Course will ensure that you have obtained the required CPD trainings for your professional development.

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