This course intended to train AI beginners on basic AI theories and guide them on developing AI applications and calling model services using Huawei Cloud EI.
3 Days
Private in-house training
Apart from public, instructor-led classes, we also offer private in-house trainings for organizations based on their needs. WhatsApp / Call us at +852 2116 3328 or email us at [email protected] for more details.
This course intended to train AI beginners on basic AI theories and guide them on developing AI applications and calling model services using Huawei Cloud EI.
This certification is intended for database engineers. It provides training and certification for database engineers to carry out routine work and O&M activities.
The Advanced Generative AI Development on AWS is designed for developers seeking to master the implementation of production-ready generative AI solutions on AWS. The course addresses the needs of organizations embarking on their generative AI journey and how to build comprehensive generative AI strategies that align with broader business objectives.
This advanced 3-day instructor-led training builds expertise across the entire generative AI stack – from foundation models to enterprise integration patterns. In addition, you will learn about advanced data processing techniques, vector database implementation and retrieval augmentation, sophisticated prompt engineering and governance, agentic AI systems and tool integration, AI safety and security measures, performance optimization and cost management strategies, comprehensive monitoring and observability solutions, testing and validation frameworks.
The course structure follows AWS’s proven model for generative AI adoption, progressing from experimentation to production-ready implementations.
This course explores the use of AI in the context of GitHub Copilot, a generative AI tool for developers. It equips users with the knowledge and skills to use Copilot effectively while mitigating potential ethical and operational risks associated with AI usage.
Learn how GitHub Actions enables you to automate your software development cycle. You’ll learn how to plan automation of your software development life cycle with GitHub Actions workflows, use GitHub Actions to automatically build an application, and use GitHub Script to interact with the GitHub API.
Explore the transformative potential of Microsoft 365 Copilot Chat and its impact on organizational efficiency. Designed for executives and business leaders without a Microsoft 365 Copilot license, this experience delves into the art of crafting effective prompts, offers an interactive experience, and demonstrates how Microsoft 365 Copilot can seamlessly integrate into daily business workflows to boost productivity and innovation.
This course teaches learners how to get started with Microsoft 365 Copilot Chat, craft effective prompts, and use its AI-powered features to enhance productivity, streamline work, and collaborate securely in real-time.
Microsoft Copilot is an AI-powered assistant that helps you accomplish more, whether you’re working on personal projects or professional tasks. In this course, you’ll get a high-level introduction to Microsoft Copilot and Microsoft 365 Copilot, learn about their capabilities, identify tasks they can support, and understand how they work behind the scenes. You’ll also gain practical skills in writing effective prompts to generate useful, relevant results. By the end of this course, you’ll be able to use Microsoft Copilot to enhance your productivity by effectively managing your tasks and creating new content based on your prompts.
Master the power of AI tools in your daily work with CompTIA AI Prompting Essentials. Whether you’re just starting out or looking to sharpen your skills, this course equips you with practical techniques to write effective prompts, automate tasks, and use AI responsibly.
CompTIA AI Prompting Essentials is a beginner-friendly course designed to help professionals harness artificial intelligence for everyday workplace tasks. Learners will build confidence in using AI tools to improve productivity and decision-making.
ISACA Advanced in AI Security Management (AAISM) validates security management professionals’ ability to demonstrate their expertise in AI. This credential builds upon existing security best practices to enhance expertise and adapt to the evolving AI-driven landscape, ensuring robust protection and a strategic edge.
As AI transforms business and security architecture, enterprise risk profiles are changing dynamically. Security leaders must do more than react. They must evaluate, adapt and guide organizations through new AI-driven systems and models, ethical considerations and security tools. Professionals today require both the technical context and leadership mindset to manage AI-specific vulnerabilities with confidence.
AAISM goes beyond simply visualizing AI security. It signifies expertise in driving AI governance and program management, assessing and mitigating AI risk, and utilizing AI technologies and controls to enhance security and streamline monitoring. ISACA’s AAISM certification meets this need by building on globally recognized credentials like CISM and CISSP.
AI is no longer on the horizon. Organizations are embedding AI into the core of business operations, decision-making and automation. As these systems grow more complex and influential, audit professionals must evolve to ensure they are governed effectively, aligned to strategic goals, and ethically sound. Without specialized AI audit capabilities, organizations risk falling behind in both compliance and innovation.
ISACA’s AAIA certification bridges this critical skills gap by equipping credentialed auditors with the ability to audit machine learning models, intelligent automation tools, and data-driven decision systems. More than just oversight, AAIA prepares you to use AI to enhance the audit process itself.
This course provides IS auditors with the foundational knowledge and background of AI solutions to evaluate their proper governance, design, development, and security to apply their expertise in audit and assurance activities in the enterprise. The course is structured to align with the job practice and features a variety of knowledge check questions, case studies, activities, and discussions designed to apply the concepts to real-life business scenarios.
In this course, you’ll explore the core principles and strategies for designing Agentic AI systems using AWS services. You’ll learn how Agentic AI differs from traditional conversational systems, and how to use tools like Amazon Q, Kiro, Amazon Bedrock Agents, and Amazon Bedrock AgentCore to build autonomous, goal-driven solutions that solve real-world problems.