By the end of Week 1, learners will:

• Gain an introduction to AI and the evolution of Agentic AI.

• Grasp the power of no-code tools in building autonomous agents.

• Differentiate Agentic AI from traditional automation and bots.

• Identify use-cases and opportunities for AI agents in various business settings.

• Explore real-life AI agent models deployed at Wyze AI.

• Identify 15 n8n Agentic AI workflows.

• Gain clarity on how to spot everyday business tasks that are perfect for automation.

• Visually map out real customer journeys using MindMeister.

• Prioritize high-impact problems.

• Document their first AI agent concept with a detailed use-case worksheet.

The Diploma in Vehicle Mounted Crane Operation is a comprehensive technical training program designed to equip learners with the essential knowledge and practical skills needed to safely and efficiently operate vehicle-mounted cranes (truck-mounted cranes or lorry loaders).

This course covers the full spectrum of crane operations — from understanding crane components, load charts, and rigging principles to performing pre-operation inspections, lifting techniques, and safety protocols. Participants will learn how to handle real-world lifting operations in compliance with global occupational safety standards and national regulations.

Through a blend of theory, simulations, and hands-on training, learners gain competence in operating modern hydraulic cranes used in construction, logistics, oil & gas, mining, and transport industries.

Transform data into actionable business insights through interactive visualization and analytics. Learn to design professional dashboards that guide decisions and performance tracking.

Develop a strong statistical foundation for data-driven decision-making. Learn probability, regression, hypothesis testing, and data interpretation for modern analytics.

Go beyond model building—learn to automate, deploy, and monitor machine learning workflows. Gain hands-on experience with CI/CD, containerization, and real-time performance tracking.

Build the backbone of enterprise analytics. Learn to design scalable data architectures, manage ETL processes, and work with distributed computing frameworks for massive data processing.

Bridge the gap between deep learning research and real-world business impact. Learn to apply neural networks and AI systems to optimize marketing, finance, and operations.

Train machines to see and interpret the world. This course covers image processing, facial recognition, and object detection through hands-on deep learning projects.

Dive into the world of human language and AI. Learn to build models that analyze, interpret, and generate language for use in chatbots, translation, and text analytics.

Unlock the creative potential of AI. Explore large language models, image generation tools, and prompt engineering techniques to build intelligent systems for text, image, and content automation.

Master the algorithms and engineering workflows that power modern AI systems. Learn supervised and unsupervised learning, model evaluation, and deployment strategies that prepare you for real-world ML applications.