Trainings

The CIPIT Training Program provides practical courses and workshops in technology, law, and policy, offering hands-on learning in areas like data protection, AI, digital rights, and intellectual property to equip participants for Africa’s evolving digital landscape.

About this course:

The Patent Drafting and Prosecution course is a 3-month course facilitated on an e-learning platform. This course aims to introduce IP professionals to the skills of patent drafting and prosecution.
Patent drafting and prosecution are specialized skills that merge technology with law. These skills are not taught in law school but are used regularly by intellectual property (IP) lawyers as well as inventors.

Upon completion of the course, the successful student will:
– Understand the structure and function of a patent application;
– Understand the concept of claiming within patents; be capable of drafting simple claims toward simple inventions;
– Understand the patenting process; and (for lawyers) be able to give basic patenting advice to inventors.

Primarily Kenya. However, much of patent drafting is universal and therefore all jurisdictions are covered.

The course is delivered through online video sessions. There are no written materials for the course, although recommended readings are provided. Assignments are given after the student views each class, and are marked upon electronic submission.

The course is organized into three modules, each consisting of four 45 minute videos. Homework for each module is provided as downloads , and is graded individually by the CIPIT team.

The course fee is Kes. 15,000 for each of the 3 modules. This caters for tuition and accreditation, and is payable before commencement of the course.

Currently Not Available

Course Description

The Data Protection online course, created by the Centre for Intellectual Property and Information Technology Law (CIPIT), is designed to introduce participants to concepts in data protection based on Kenya’s Data Protection Act, particularly the compliance aspects required of businesses and organisations. With this course, CIPIT aims to:

    • Introduce participants to concepts and terms used in data protection laws globally.

    • Give participants an in-depth understanding of the legal basis and scope of Kenya’s Data Protection Act.

    • Prepare participants to comply with the technical and organisational measures required under Kenya’s Data Protection Act.

    • Provide participants with the knowledge and skills required to serve as or support a Data Protection Officer (DPO).

The course consists of three interconnected modules:

    • Module I is an introduction to the legal basis for data protection, as well as legal issues such as the data protection principles, grounds for data processing and the data protection actors and their various roles.

    • Module II builds on the legal issues by taking participants through technical and organisational issues that would be required under the Data Protection Act.

    • Module III takes participants through the role and functions of a data protection officer.

The course also includes:

    • Glossary of data protection terms that defines the terms used frequently throughout the course.

    • A video by one of our instructors on data protection from a global perspective, that is, the state of data protection in other countries and what it means for businesses and organisations both domestically and internationally.

Training on Artificial Intelligence and Intellectual Property: Challenges and Opportunities

The Centre for Intellectual Property and Information Technology Law (CIPIT) invites you to participate in the upcoming AI and IP Training scheduled for April 28th, 2025 from 9:00am – 1:00pm EAT

Venue: Online
Cost: KShs. 6,000 for advocates earning CPD Points

         or KShs. 3,000 for participants not seeking CPD points (includes AI developers, software engineers, students etc.)

USD 50 for international participants

LSK CPD Points: Earn 1 CPD Point for Advocates in attendance.

Secure Your Spot! Limited slots are available, so sign up today!

Please note: The deadline for payment is April 24, 2025.

Course Overview

This comprehensive workshop provides an in-depth understanding of intellectual property (IP) rights pertinent to AI development. Delivered through a virtual platform, it combines live training sessions, interactive discussions and case studies aimed at engaging participants while addressing practical IP concerns faced by AI developers, users, and legal professionals.

Workshop Facilitators

  1. Sharon Chahale Wata – Deputy Executive Director- Training & Research, KECOBO

  2. Chebet Koros – IP Research Fellow, CIPIT

  3. Florence Ogonjo – AI Research Fellow, CIPIT

  4. Natasha Karanja – Researcher, CIPIT

  5. Cynthia Nzuki – Researcher, CIPIT

Target Audience

This workshop is ideal for: AI developers, Software developers, Tech entrepreneurs, Lawyers and Advocates, Researchers and Stakeholders involved in AI development and innovation.

Key Features of the Training

The training encompasses a variety of presentations and interactive components designed to illustrate challenges and best practices in IP management for AI development.

Challenges and Opportunities of Intellectual Property in AI Development

  • Fundamentals of IP and AI: Gain a foundational understanding of the role of IP in the tech industry, specifically for AI, by exploring key AI principles and IP types—copyrights, patents, trade secrets, and trademarks—and their impact on innovation.

  • Copyright in AI: Explore the complexities of copyright in AI, with a focus on ownership and licensing. Engage with case studies to better understand copyrightability in AI development.

  • Patents and AI Innovation: Discover what aspects of AI technology can be patented, including insights into jurisdictional differences and an overview of the patent application process.

  • Trade Secrets: Learn about the strategic importance of trade secrets in AI, covering methods for safeguarding confidential information and effective management practices.

  • Trademarks: Understand the role of trademarks in establishing and protecting the brand identity of AI products and services through case studies on effective branding strategies.

  • AI and Indigenous Knowledge

  • The Future of AI and IP: Opportunities in AI and IP

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