Schedule 2

Training machine learning models on a local machine often leads to long runtimes, timeouts, and resource constraints, making it difficult to experiment and iterate efficiently. In this session, we’ll explore how to offload ML training from local to a more robust Azure Kubernetes Service (AKS) using the open-source Dask framework. By leveraging Dask-Kubernetes, you'll learn how to distribute ML workloads seamlessly, optimize resource utilization, and significantly reduce training time on AKS using a parallel computing framework.

Through real-world demonstrations, we’ll walk through setting up a scalable ML pipeline, provisioning Dask clusters on AKS, and addressing common challenges in distributed training. Whether you're a data scientist or ML engineer, this session will equip you with practical insights to overcome local resource limitations and accelerate ML training at scale.

This session will be aimed at helping attendees to kickstart their machine learning journey using Azure Machine Learning. This session introduces the core concepts, tools, and workflows that make Azure ML a powerful platform for beginners and professionals alike. 
Whether you're a developer, data enthusiast, or IT professional, you'll learn how to build, train, and deploy your first ML model using no-code and low-code tools.

As AI becomes part of the systems we rely on every day from hospitals and banks to national security a serious question comes up: who’s testing the AI before it makes decisions that affect us all?

In this session, I’ll Walk you through the journey of Red Teaming: how it started with military exercises, shifted into cybersecurity, and is now evolving into something even more powerful: AI Red Teaming.

We’re now in a space where ethical hackers are stress-testing AI models to uncover flaws, biases, and potential misuse. And this isn’t just about catching bugs but it’s about protecting people, building trust, and making sure AI systems are secure, fair, and inclusive.

I’ll be showing how traditional cybersecurity professionals can step into this fast-emerging space and why Africa must have a seat at this table.

You’ll learn how to:

• Move from Classic blue team roles into AI-focused security
• How to break into this fast-growing space (even if you’re starting from traditional cybersecurity)
• Discover new career paths in AI security—like adversarial testing and model auditing
• How we can build culturally aware Red Teams that test AI for real-world threats.

This session is for anyone passionate about the future of cybersecurity, AI, and Africa’s role in shaping tech that works for everyone. Whether you’re just starting out or already leading in this space, there’s a place for you in this conversation.