AI Engineering Training in Durban

This instructor-led, live training in Durban (online or on-site) targets AI professionals and software developers at intermediate to advanced levels who wish to build smart applications using AI and ML.

Upon completing this training, participants will be able to:

• Grasp the advanced concepts and technologies underpinning AI and ML.
• Analyse and visualise data to guide the development of AI/ML models.
• Effectively construct, train, and deploy AI/ML models.
• Create smart applications capable of solving real-world challenges.
• Evaluate the ethical implications of AI applications across various industries.

This instructor-led, live training in Durban (online or onsite) is aimed at intermediate-level to advanced-level data scientists, engineers, and AI practitioners who wish to master the intricacies of intelligent applications and leverage them to solve complex, real-world problems.

By the end of this training, participants will be able to:

• Implement and analyze deep learning architectures.
• Apply machine learning at scale in a distributed computing environment.
• Design and execute reinforcement learning models for decision-making.
• Develop sophisticated NLP systems for language understanding.
• Utilize computer vision techniques for image and video analysis.
• Address ethical considerations in the development and deployment of AI systems.

This instructor-led live training in Durban (online or on-site) is designed for beginner to intermediate-level AI engineers and software developers seeking a solid grasp of AI engineering principles and practices.

Upon completion of this course, participants will be able to:

• Grasp the core concepts and technologies underlying AI and machine learning.
• Develop foundational machine learning models using TensorFlow and PyTorch.
• Utilise AI techniques to address practical problems within software development.
• Manage and maintain AI projects adhering to industry best practices.
• Identify the ethical implications and responsibilities associated with developing AI systems.

This instructor-led, live training in Durban (online or onsite) is aimed at beginner-level IT professionals who wish to gain a foundational understanding of intelligent applications and how they can be applied in various industries.

By the end of this training, participants will be able to:

• Grasp the history, core principles, and impact of artificial intelligence.
• Identify and apply various machine learning algorithms.
• Effectively manage and analyse data for AI applications.
• Recognise the practical applications and limitations of AI across different sectors.
• Discuss the ethical considerations and societal implications of AI technology.

This intensive two-day practical programme empowers participants with the skills necessary to deploy Generative AI tools with precision, safety, and consistency within both technical and operational contexts. The primary objective is to integrate AI as a dependable daily partner for enhancing documentation, structuring complex requirements, expediting analysis and reporting, facilitating problem-solving, and smoothing cross-functional dialogue. Participants will master established prompting techniques, methods for validating outputs to minimise errors and “hallucinations,” and streamlined governance protocols that safeguard confidential data and intellectual property. The curriculum is structured to deliver immediately applicable templates, workflows, and a sustainable methodology for AI-assisted productivity.

Artificial Intelligence is rapidly emerging as the cornerstone of contemporary product management, fundamentally transforming how we uncover customer needs, define solutions, and make critical decisions. Much like electricity revolutionised industry, AI is reshaping the way products are built, validated, and evolved.

This instructor-led, live training (available online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches who wish to understand how AI can enhance product ownership and strengthen decision-making processes.

By the end of this training, participants will be able to:

• Understand the fundamentals of Artificial Intelligence and differentiate between traditional AI and Generative AI (GenAI).
• Apply the seven preferred stances of a Product Owner (including the new Orchestrator stance) and use AI to strengthen each stance — such as Visionary, Experimenter, or Customer Representative.
• Master effective prompting and treat AI tools as intelligent collaborators with specialised skills.
• Deepen customer understanding and create AI-supported personas for hypothesis testing and discovery, while maintaining authentic customer contact.
• Develop and communicate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to shape and visualise narratives.
• Use Generative AI tools to accelerate prototyping and hypothesis testing, such as generating mock-ups or product concepts.
• Support product decisions by using AI tools to analyse, prioritise, and evaluate features based on value, feasibility, and user impact.
• Automate or delegate routine daily tasks (emails, stakeholder management, note-taking) using AI to focus on strategic and creative work.
• Lead discussions on AI ethics, bias, and data security, ensuring responsible and sustainable AI adoption.
• Identify and design valuable AI use cases tailored to the specific product and organisational context.
• Explore and experiment with around 20 different AI tools and models — from productivity assistants and prototyping platforms to generative video, image, and coding solutions.