Certified Prompt Engineering Professional (CPEP)

Are you ready to transform the way you build software using AI?Welcome to the Amazon Kiro Masterclass, a fully hands-on course where you will learn how to build real-world applications using AI-powered development agents, automate workflows, and accelerate your development process like never before.This is not a theory-heavy course — everything is built step-by-step using practical demonstrations. What is Amazon Kiro?Amazon Kiro is a next-generation AI-powered development environment that goes beyond simple code generation.Instead of just writing prompts, Kiro enables:Spec-driven development (requirements → design → code)AI agents that build, test, and improve your applicationAutomation using hooksFaster debugging and optimisationWhat You Will LearnBy the end of this course, you will be able to:Build applications using AI-driven development workflowsConvert prompts into structured requirements and architectureGenerate backend and frontend code using AIAutomate development tasks using Kiro hooksDebug and optimize applications with AI assistanceGenerate documentation and deployment steps automaticallyWhat You Will BuildAutomation workflows using Kiro hooks Production-ready outputs:Documentation (README, API docs)Deployment stepsCourse Structure (Fast Practical)This course is designed for maximum efficiency:Short lectures (5–10 minutes each)Step-by-step hands-on demosReal-world development scenarios

This course covers the advanced content required for the Microsoft DP-800 "Developing AI-Enabled Database Solutions" certification exam.What will you learn in this course?We'll create an Azure SQL Database with sample data, as well as a Fabric SQL Database and install SSMS and Visual Studio Code.We'll create T-SQL statements, including database objects, programmability objects, and basic and advanced T-SQL code.We’ll then add GitHub and Microsoft Copilot, Implement data security and compliance, and Optimize database performance.We’ll then create SQL Database Projects to implement schema changes, and add source control using GitHub. We’ll also integrate SQL solutions with Azure services.Finally, we'll look at how to implement AI capabilities in database solutions. We’ll design and implement models, embeddings and intelligent search using vectors and full-text indexing, and design and implement retrieval-augmented generation.Once you have completed the course, you will have a good knowledge of developing AI-enabled Database Solutions using Azure SQL Database. And with some practice and knowledge of some additional topics, you could even go for the official Microsoft certification DP-800 - wouldn't the "Microsoft Certified: SQL AI Developer Associate" certification look good on your CV or resume?I hope to see you in the course - why not have a look at what you could learn?

About the Exam: PL-500 – Microsoft Power Automate RPA Developer AssociateThe PL-500 exam evaluates your ability to design, build, test, and manage robotic process automation (RPA) solutions by using Microsoft Power Automate. This practice exam course aligns with the current Microsoft skills measured and focuses on key areas such as automation design, desktop flows, cloud flows, infrastructure setup, and monitoring.The certification includes topics related to building end-to-end automation solutions using Power Automate. Candidates are expected to understand how desktop and cloud flows interact, how to automate repetitive business processes, and how to work with connectors, triggers, and UI automation techniques in real-world scenarios.The exam also focuses on developing automations, including creating desktop flows, integrating with external systems, and handling errors and exceptions. Candidates should understand how to test and debug flows, manage configurations, and use variables and input/output parameters effectively.Another important area is deploying and managing automations. This includes working with machine groups, queues, and unattended automation, as well as implementing load balancing and managing execution environments. The exam evaluates how professionals monitor automation runs, analyze logs, and maintain performance and reliability.Additionally, the exam covers designing automation solutions using Power Automate features and capabilities. Candidates should understand when to use desktop flows versus cloud flows, how to select appropriate triggers, and how to design scalable and maintainable automation solutions.The exam also includes topics related to automation infrastructure and integration. This involves working with on-premises data gateways, credential management, and Dataverse components to support secure and efficient automation workflows.Who This Credential Is ForThis certification is intended for

Breaking into Artificial Intelligence doesn’t have to feel overwhelming. In this course, I’ve taken everything I’ve learned from teaching thousands of students across Azure, AI, and Cloud Computing — and structured it into a simple, practical learning experience created specifically for AI-900 aspirants.The goal of this course is very straightforward:Help you understand AI concepts clearly, learn how Azure’s AI services work in the real world, and prepare you confidently for the AI-900 certification.You’ll start with the absolute basics — what AI, Machine Learning, and Generative AI actually mean — and then move into hands-on examples using Azure Cognitive Services, Azure OpenAI, Responsible AI, and essential use cases that companies are implementing today.Throughout the course, I focus on real explanations instead of jargon. Each module is broken down into small, easy-to-understand lessons so you never feel lost, even if you’re completely new to AI or Azure.By the end of this course, you will:Understand the core AI concepts tested in AI-900Explore Azure AI services through guided demosLearn real industry applications of Vision, NLP, and Generative AIBuild confidence to appear for the AI-900 examUnderstand how AI is being adopted across various industriesIf you want a clean, structured, beginner-friendly path into AI using Microsoft Azure — this course is designed for you.

Candidates for this exam should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.What is AI?Simply put, AI is the creation of software that imitates human behaviors and capabilities. Key elements include:Machine learning - This is often the foundation for an AI system, and is the way we "teach" a computer model to make prediction and draw conclusions from data.Anomaly detection - The capability to automatically detect errors or unusual activity in a system.Computer vision - The capability of software to interpret the world visually through cameras, video, and images.Natural language processing - The capability for a computer to interpret written or spoken language, and respond in kind.Conversational AI - The capability of a software "agent" to participate in a conversation.

This comprehensive practice test course is meticulously designed for IT professionals, cloud developers, and AI engineers preparing to pass the Microsoft AI-103: Azure AI App Agent Developer certification exam on their very first attempt. Featuring 360 high-quality, realistic exam questions that precisely mirror the difficulty, format, and domain distribution of the actual certification, this course provides an unparalleled test-taking experience that builds genuine exam confidence. Each question comes complete with detailed, easy-to-understand explanations that not only reveal why the correct answer is right but also thoroughly explain why each incorrect option is wrong, transforming every practice attempt into a powerful learning opportunity. The question bank comprehensively covers all five critical domains of the AI-103 exam including Azure AI Agent Service development and orchestration (25%), Semantic Kernel implementation with planners and plugins (20%), RAG (Retrieval-Augmented Generation) architecture using Azure AI Search with both keyword and vector search (20%), Azure OpenAI integration including function calling, assistant API, and prompt engineering (15%), plus responsible AI implementation with content safety, monitoring with Application Insights, and production deployment strategies (20%). The course includes a balanced mix of single-answer multiple-choice questions and multi-select scenarios that test your deep understanding of real-world Azure AI development challenges such as conversation memory management, function calling patterns, grounding to reduce hallucinations, multi-agent communication, error handling, cost optimization, and security compliance with GDPR and HIPAA requirements. Updated for the latest Azure AI services including GPT-4, Semantic Kernel v1.0+, and the Azure AI Agent Service, this practice test course is your ultimate resource for validating your skills and passing the AI-103 certification with confidence.