AI Engineering Training in Johannesburg

This instructor-led, live training in Johannesburg (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 Johannesburg (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 Johannesburg (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 Johannesburg (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 increasingly becoming the cornerstone of contemporary product management, fundamentally altering how we uncover customer needs, formulate solutions, and drive decisions. Much like the industrial revolution brought about by electricity, AI is redefining the creation, validation, and evolution of products.

Designed for Product Owners, Scrum Masters, and Agile Coaches, this instructor-led live course (available online or onsite) focuses on leveraging AI to elevate product ownership and fortify decision-making processes.

Upon completion, participants will be equipped to:

• Grasp the core principles of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
• Implement the seven key stances of a Product Owner, including the emerging Orchestrator role, enhancing each—such as Visionary, Experimenter, or Customer Representative—through AI integration.
• Master the art of effective prompting, engaging with AI tools as intelligent partners possessing specialized expertise.
• Enhance customer insight and develop AI-assisted personas for hypothesis testing and discovery, all while preserving genuine customer interaction.
• Craft and articulate a compelling product vision using structured methods like the 3x3 Framework, utilizing AI to refine and visualize narratives.
• Leverage Generative AI to speed up prototyping and hypothesis testing, such as creating mock-ups or conceptual product models.
• Inform product decisions by employing AI to analyze, prioritize, and assess features based on value, feasibility, and user impact.
• Streamline routine operational tasks, such as email management, stakeholder communication, and note-taking, via AI to prioritize strategic and creative initiatives.
• Facilitate conversations on AI ethics, bias, and data security, fostering a culture of responsible and sustainable AI adoption.
• Recognize and engineer high-value AI use cases aligned with specific product and organizational requirements.
• Experiment with approximately 20 diverse AI tools and models, ranging from productivity assistants and prototyping suites to generative video, image, and coding capabilities.

This live, instructor-led training in Johannesburg is tailored for teams aiming to leverage insights from their own documents and guidelines.

By the end of the session, participants will be capable of:

• Preparing documents for effective AI processing
• Creating a knowledge assistant via Claude Projects, custom GPTs, or Langdock
• Obtaining answers with verifiable sources
• Keeping the knowledge base current and accurate