AI & Digital Transformation Agentic AI Microsoft Certified
Agentic AI
This course provides an in-depth exploration of Agentic AI—an advanced AI capability empowering systems to reason, plan, act, and autonomously execute complex tasks. Designed for professionals working in automation, AI development, operations, and digital transformation, the course demystifies how agent-based architectures work, including goal decomposition, dynamic planning, decision reasoning, multi-agent collaboration, and orchestration across enterprise systems.
Participants gain exposure to real-world Agentic AI frameworks such as Microsoft Copilot Studio agent capabilities, LangChain agents, AutoGen, OpenAI Agents, and workflow orchestration engines. The course includes demonstrations of how Agentic AI can autonomously manage workflows, retrieve and process context-aware information, handle multi-step tasks, and optimize business processes without continuous human intervention.
Key modules include generative reasoning, tool-calling, high-level decision automation, risk and governance for autonomous systems, and designing safe guardrails. Learners also explore enterprise use cases such as automated service desks, self-driving business processes, AI-powered project management, supply chain optimization, IT operations automation, and customer engagement agents.
By the end of the program, participants will be able to architect and implement agentic workflows, integrate AI agents into enterprise applications, and design scalable, secure, and responsible autonomous AI solutions. The course equips teams to leverage next-generation automation for productivity, speed, and strategic impact.
Microsoft Certified: Azure AI Fundamentals (AI-900)
This foundational certification course introduces learners to the core principles of Artificial Intelligence and Microsoft Azure AI services. Designed for beginners, business professionals, and technical teams looking to build AI literacy, the course covers essential AI concepts, machine learning basics, responsible AI practices, and real-world applications across industries.
Participants explore Azure Cognitive Services including Vision, Language, Speech, Search, and Decision services. They gain hands-on experience using tools such as Azure AI Studio, Azure Machine Learning, Image Analysis, Text Analytics, and conversational AI models. Each module includes practical demonstrations and guided labs to help learners understand how AI models are built, trained, and deployed on the Azure platform.
The course emphasizes responsible AI principles including fairness, privacy, security, explainability, and ethical considerations. Learners also understand classification, regression, clustering, anomaly detection, and natural language processing in a simple, business-friendly manner.
Upon completion, participants will be fully prepared to take the AI-900 certification exam and demonstrate competence in Azure AI workloads. This course is ideal for anyone looking to start a career in AI, transition into data technology roles, or understand AI capabilities for digital transformation initiatives.
Microsoft Certified: Azure AI Engineer Associate (AI-102)
This advanced, hands-on certification course equips professionals to design, build, manage, and deploy AI solutions using Microsoft Azure. Ideal for developers, AI engineers, solution architects, and technical leads, the course provides an end-to-end understanding of creating intelligent applications powered by Azure AI services.
Participants learn to integrate Azure Cognitive Services, Azure OpenAI Service, Azure AI Search, and Azure Machine Learning into real-world solutions. Key focus areas include natural language processing, computer vision, image classification, custom text models, knowledge mining, conversational AI development, and intelligent agent design. Learners also work with Azure Bot Framework and Azure OpenAI to build enterprise-grade AI solutions.
The course emphasizes best practices for securing AI workloads, applying responsible AI principles, optimizing performance, and managing operational AI pipelines. With extensive hands-on labs, participants build custom ML models, deploy scalable AI endpoints, and integrate AI capabilities into web apps, APIs, and enterprise workflows.
By the end of the training, learners will be fully prepared for the AI-102 certification exam and ready to work as certified Azure AI Engineers capable of building powerful generative and cognitive AI applications.
Microsoft Azure OpenAI Service – Practitioner Training
This practitioner-level course provides deep, hands-on training in Microsoft Azure OpenAI Service, enabling learners to build advanced generative AI applications using GPT, Vision, Embeddings, and function-calling models. The course is designed for developers, business technologists, solution architects, automation specialists, and innovation teams seeking to integrate generative AI into enterprise systems.
Participants explore model configuration, prompt engineering, embeddings, fine-tuning, agentic use cases, and secure deployment practices. The course includes labs demonstrating real-world implementations such as AI chatbots, document intelligence, knowledge assistants, coding copilots, workflow automation, text generation, summarization, and multi-modal solutions.
Key topics include retrieval-augmented generation (RAG), vector databases, responsible AI guardrails, content safety, performance optimization, and integrating OpenAI with Power Platform, Azure Functions, Data Factory, and external APIs. Learners gain hands-on experience with Azure AI Studio and enterprise deployment patterns.
By the end of the course, participants will be skilled in designing and deploying scalable, secure, and compliant generative AI applications suitable for business operations, customer experience, process automation, and decision support.
Azure Machine Learning (AZ-ML) – Data Science Training
This advanced data science course provides comprehensive hands-on training in Azure Machine Learning, empowering learners to build, train, deploy, and manage machine learning models at scale. Designed for data scientists, ML engineers, analysts, and AI practitioners, the course covers the full data science lifecycle.
Participants learn data preparation, feature engineering, model training, hyperparameter tuning, experiment tracking, and automated ML. The course includes practical labs using Azure ML Studio, notebooks, pipelines, MLflow integration, and responsible AI dashboards. Learners explore supervised and unsupervised learning, classification algorithms, regression models, clustering, anomaly detection, and deep learning fundamentals.
The course also highlights enterprise-scale deployment including managed endpoints, CI/CD for ML solutions, model monitoring, drift detection, and retraining automation. Learners gain experience deploying models as APIs and integrating them into business applications.
By the end of the training, participants will have strong expertise in building machine learning solutions using Azure’s scalable cloud platform and be prepared for Azure ML-focused certification exams and real-world enterprise data science roles.
Microsoft Power Platform AI Builder Training
This hands-on course teaches learners how to build AI-driven business applications using Microsoft Power Platform’s AI Builder. Ideal for business analysts, citizen developers, automation teams, and Power Platform users, the course focuses on practical AI integration without requiring coding expertise.
Participants learn to use AI Builder for document processing, prediction models, object detection, text recognition, sentiment analysis, category classification, and intelligent automation. The course includes guided labs using Power Automate, Power Apps, and Dataverse to create end-to-end AI-enabled workflows.
Learners explore real-world use cases including automated approvals, invoice extraction, customer sentiment monitoring, lead scoring, field automation, and process optimization. Best practices for governance, model training, versioning, environment management, and performance tuning are included.
By the end of the program, participants will be able to design smart business applications that enhance productivity, reduce manual work, and strengthen decision-making using AI Builder.
Microsoft Copilot for Microsoft 365 – Practitioner Course
This course enables learners to master Microsoft Copilot for Microsoft 365, transforming productivity across Word, Excel, PowerPoint, Outlook, Teams, and SharePoint. Aimed at professionals, managers, digital workplace specialists, and operations teams, the course teaches practical use cases to automate work and enhance efficiency.
Participants learn prompt engineering, task automation, data analysis in Excel, content generation in Word, presentation creation in PowerPoint, email optimization in Outlook, and workflow improvements in Teams. The course includes hands-on labs showing real workplace scenarios.
Learners also study governance, data security, responsible AI, licensing, admin controls, and organizational rollout planning. By the end of the course, participants can use Copilot to save hours of manual effort and dramatically improve productivity.
Microsoft Copilot Studio (formerly Power Virtual Agents)
This course teaches learners to build intelligent conversational assistants using Microsoft Copilot Studio. Participants learn to design, configure, and deploy AI-powered bots that automate customer support, internal helpdesks, HR processes, and IT operations.
Key areas include natural language processing, topic creation, Power Automate integration, generative answers, custom AI actions, OpenAI integration, and multi-channel deployment. Learners also explore analytics, bot improvement techniques, and enterprise governance.
Microsoft Data & AI Fundamentals Path
This structured learning pathway covers data concepts, databases, analytics, AI fundamentals, and Microsoft cloud services for beginners. It includes data storage, ETL, Power BI basics, AI concepts, ML basics, and Azure data services.
Cognitive Services Deep Dive
An advanced course on Microsoft Cognitive Services covering Vision, Speech, Language, Decision, and Search. Includes hands-on labs building NLP systems, OCR engines, translation apps, and intelligent search solutions.