PowerApps, PowerAutomate & SharePoint - Beginner to Advanced

Transform your ML models into production-ready AI features with our comprehensive MLOps product design course. Whether you're a data scientist stepping into MLOps or a machine learning engineer looking to master end-to-end AI system design, this course equips you with battle-tested strategies for building, deploying, and maintaining ML models at scale.Learn how to architect robust ML pipelines that stand up to real-world challenges. Through hands-on projects, you'll master essential MLOps practices from model registry management to automated retraining workflows. Discover how to optimize your models for production, implement efficient resource management, and leverage cloud infrastructure for scalable AI solutions.Perfect for: ML engineers, data scientists, AI architects, and technical professionals looking to master MLOps practices for production AI systems.What You'll Learn:MLOps Use Cases - Real-world applications and implementation strategies for different business scenariosML Model Registry - Building and managing centralized model repositories for version control and governanceML Model Metadata - Implementing robust tracking systems for model lineage, metrics, and deployment historyML Hyperparameter Optimization - Advanced techniques for automated model tuning and performance optimizationML Model Pipeline - Designing scalable, automated workflows for model training, validation, and deploymentML Model Profiling - Performance analysis and optimization techniques for production ML systemsML Model Packaging - Best practices for creating reproducible, deployable model artifactsML Model Resource Manager - Efficient resource allocation and management for ML workloadsML Model Retraining - Implementing automated retraining workflows and data drift detectionML Model in Cloud - Cloud-native architectures and deployment strategies for scal

In this course, we will learn Data Modeling and explore how to use erwin data modeling tool effectively. This course is very extensive around 10 hours and we will cover almost every data modeling concept with proper examples. We will also cover use of erwin data modeler along with related data modeling concepts. We have tried to keep data modeling theory lectures and erwin hands-on lectures combined so you not only understand the theory but also the practical implementation. Learning Data Modeling is an extensive journey that requires proper theoretical knowledge and also lot of hands-on practice.Please reach out to us at simplifying.it.0101@gmail.com if you would like to purchase this course for exciting offers. We have put lot of efforts to create this course interesting, simplified and knowledgeable and I am sure... you will also take this course full of dedication.In this course, we will cover below topics,· Introduction to the course (Theory)· Why Data Modeling (Theory)· Why Erwin (Theory)· Who can use this course (Target Audience) (Theory)· How to use this course effectively (Theory)· erwin Data Modeler User Interface (Erwin)· Overview of Data Modeling (Theory)· Overview of ER Model (Theory)· Entities (Theory)· Entities from erwin (Erwin)· Datatypes (Theory)· Attributes (Theory)· Attributes from erwin (Erwin)· Relationships (Theory)· Relationships from erwin (Erwin)· Keys (Theory)· Keys from erwin (Erwin)· Supertypes Subtypes (Theory)· Supertypes Subtypes from erwin (Erwin)· Create a simple data model + erwin (Practice)· Notations (Theory)· Naming Standards (Erwin)· Define Domains (Erwin)· Data Modeling Template (Erwin)· Create a simple data model for IMDB (Practice)· Conceptual Data Model (Theory)· Conceptual Data Model erwin (Erwin)· Logi

In this course we will be learning about azure function which is a serverless concept of cloud design that allows a piece of code to be deployed and executed without any need of server infrastructure .It can be written in multiple languages like C#, Java,...These services are so helpful that if you have to implement the same functionality using traditional language it will take you a lot of time in comparing to using azure functions .Knowing these services is critical since they can solve some complex real world scenarios with ease .In this course you will learn how to create Azure Functions using azure Portal, visual studio, and visual studio code, and explore the different triggers, bindings and deployment models that are available.you will learn how to:Develop and test Azure Functions using Azure Portal editor.Understand Azure Functions Bindings and Triggers .Create cosmos DB using data explorer in azure portal . Develop and test and deploy Azure Functions using Visual Studio and Visual Studio Code .Create http trigger in visual studio code to interact with container inside cosmos database .Develop and test event hub trigger .Add trigger to app logic designer with watch variables for logs each time data is changed in cosmos db .Overview about Durable orchestrations functions template structure and workflow .Monitor Azure Functions logs for possible errors using Application Insights.Deploy Azure Functions App .Mastering Azure Functions can get you a job as a cloud developer. It's a in demand skill in software development industry, particularly nowadays with the rise of serverless cloud computing .By the end of this course, you should have a fundamental understanding of what Microsoft Azure Functions are, how t

If you are someone who is planning to work in the IT industry or you are someone who is already working in some IT role, and if you are curios to know how different people working in the projects would communicate with each other over emails on daily basis to exchange critical information to get the job done, this course is for you, - The task could be as simple as asking for some help over email to solve an issue when a server is experiencing some problem or - Requesting a Vendor over email to help you with some application deployment.- Engaging the team to solve a critical application down issue etc.This course will help you to understand the most important topics people would discuss in the IT environments to deal/solve the critical issues over emails.This course will help you prepared on how you need to communicate with others working in IT environments and what language needs to be used while sending emails to Vendors, Partners, Colleagues, Managers, Technical Teams, etc.This course will not only guide you to write great emails in IT industry but it will also open doors to some technical knowledge that can help you to understand more about how things work in the IT environments.Many people love to take IT courses when they are new to IT or when they like to go to the next level, the information that is mentioned in this course will give you complete understanding on the kind of real time issues or scenarios you will come across working in IT environments.In the 27 E-Mail conversations you will find the most common scenarios you will come across working in the IT industry. And you will learn on how you need to act or communicate during these situations with others to take things forward.This course is suitable for:Anyone who wants to learn how things work in IT.Sy

Welcome to “Building AI Agents and Agentic AI Systems Using AutoGen”, a hands-on, project-driven course designed to help you master the future of intelligent software: Agentic AI. As large language models (LLMs) become more powerful, the next evolution is enabling them to work collaboratively through AI agents—and this course is your complete guide to making it happen using Microsoft's AutoGen framework.Whether you're a data scientist, ML engineer, AI researcher, or product builder, this course will take you step-by-step into the world of multi-agent AI systems. You’ll learn to design, build, and deploy AI agents that can autonomously plan, reason, and execute complex tasks by communicating with each other and interacting with external tools.What you’ll learn:Understand the fundamentals of Agentic AI and how it differs from traditional GenAI applications.Explore the architecture of AutoGen and how it orchestrates multiple LLM-powered agents to collaborate effectively.Build and customize various types of agents (e.g., UserProxyAgent, AssistantAgent, GroupChatAgent).Implement multi-agent workflows that solve real-world problems with code generation, task breakdown, and dynamic decision making.Integrate tools like web APIs, databases, and Python functions into your agent ecosystem.Use AutoGen Studio for visual development and monitoring of agent interactions.Optimize agents for cost, speed, and performance using configuration tuning and role specialization.Deploy agentic systems for use cases like coding assistants, research bots, multi-agent chat applications, and automated task runners.This course is project-focused—you won’t just learn the theory, you’ll build powerful agentic AI applications from scratch. You’ll understand how to design autonomous AI teams that mirror human workflows, assign responsibilities, communicate efficiently, and adapt to dynamic

You are welcome to commence your journey towards achieving the Blockchain Expert Certification by signing up for the extensive Blockchain Professional Certification exam preparation course. This course delves into crucial subjects like hash functions, private blockchains, digital wallets, and more to help you develop a solid grasp of blockchain technology. The course includes practice tests to aid you in effectively preparing for the Blockchain Expert Certification exam. The Certification for Blockchain Experts (CBE) is a highly regarded certification program that validates an individual's knowledge and skills in blockchain technology. This certification aims to showcase proficiency in understanding the basics of blockchain, its applications, and its potential impact on various industries. The CBE certification offers numerous advantages: Validation of Expertise: The CBE certification confirms a thorough understanding of blockchain technology. - Career Progression: Holding a CBE certification can create new career prospects in the fast-growing blockchain field. Industry Acknowledgment: Employers and industry experts recognize the value of CBE certification as a symbol of excellence in blockchain expertise. - Networking Opportunities: CBE holders can engage with a community of like-minded blockchain professionals and experts. The certification process comprises the following steps: - Preparation: Candidates undergo training and preparation to establish a solid foundation in blockchain technology. Examination: Candidates must pass a demanding exam that assesses their knowledge and comprehension of blockchain concepts. - Certification: Upon successful completion of the exam, candidates receive the esteemed CBE certification. The course covers a range of topics, including Blockchain Fundamentals, Cryptography and Security, Smart Contracts, Decentralized Applications (DApps), Blockchain Platforms, and Use Cases and Applications. While there are no strict prere