In this advanced, project-driven course, you’ll learn to build a complete full-stack movie streaming application from scratch — powered by AI-driven recommendations.

You’ll use Go (Golang) with the Gin-Gonic framework on the backend, React on the frontend, and MongoDB for data storage. Then, you’ll integrate LangChainGo to connect your app with OpenAI, enabling smart movie suggestions based on user preferences, viewing history, and natural-language input.

The Model-Context Protocol (MCP) is a revolutionary standard that allows AI agents — like GitHub Copilot, Gemini, and other advanced systems — to securely access and interact with external databases, APIs, and applications.

This course is CS50’s Introduction to Databases using SQL, a foundational yet powerful dive into the world of relational databases — the systems that organize and power almost every major application in the world today.

You’ll learn how to create, read, update, and delete data (CRUD) while mastering how to model real-world entities through tables, relationships, and constraints.
You’ll explore data normalization, joins, triggers, views, and indexing, and how these concepts ensure your databases are efficient, error-free, and scalabl

This course is your complete preparation for the Google Generative AI Leader Certification, designed and taught by Andrew Brown, a CTO who has aced nearly every major DevOps and cloud certification exam.

You’ll gain business-level expertise in Google Cloud’s Generative AI offerings — from understanding foundational AI models to applying AI solutions for real-world business impact.
The course blends conceptual clarity with practical insights, ensuring you’re ready not just to pass the exam but to lead AI transformation discussions confidently.

The Google Cloud Digital Leader Certification is your gateway to proving your cloud literacy and demonstrating your ability to leverage Google Cloud technologies to drive business success.

This course, developed by Andrew Brown of ExamPro, is a comprehensive and practical guide to help you prepare for and pass the Google Cloud Digital Leader exam — even if you have no prior cloud experience

This foundational course, Quantum Physics I, introduces students to the fascinating world of quantum mechanics — the science governing the behavior of matter and energy at the smallest scales.
Through engaging lectures and thought experiments (including the famous box apparatus), learners will explore key principles such as uncertainty, superposition, and wave-particle duality.

The course begins with essential orientation and gradually moves into quantum reasoning — challenging classical assumptions and revealing how particles can exist in multiple states until measured.

Course Description:

Speaking is one of the most powerful skills anyone can develop — whether you’re pitching an idea, leading a team, teaching, or simply trying to express yourself clearly.
This course, “How to Speak,” is designed to help you become a confident, persuasive, and impactful communicator.
Through practical exercises, real-world examples, and speech-enhancing techniques, you’ll learn how to speak with clarity, confidence, and authenticity — both in person and online.

By the end, you won’t just speak — you’ll connect, inspire, and influence.

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.