AI and Machine Learning

Craft Effective Prompts for Microsoft Copilot for Microsoft 365 (MS-4005) is a specialized course designed to help users maximize the capabilities of Microsoft Copilot by creating clear, concise, and effective prompts

This course focuses on empowering professionals to leverage Microsoft 365 Copilot to enhance user adoption and enablement. Learn how to utilize AI-driven tools within Microsoft 365 to streamline workflows, improve productivity, and assist users in navigating and maximizing their use of the platform. Ideal for specialists looking to optimize user experiences and accelerate digital transformation within organizations.

Gain the necessary knowledge for designing Azure AI solution by building a customer support chat Bot using artificial intelligence from the Microsoft Azure platform including language understanding and pre-built AI functionality in the Azure Cognitive Services.

Copilot Foundations introduces participants to the basics of generative AI and language models, focusing on creating, testing, and managing intelligent AI copilots. Through hands-on labs using Microsoft Copilot and Azure AI Studio, learners will explore effective prompting techniques, develop custom copilot solutions using Retrieval Augmented Generation (RAG) with their own data, and gain practical experience in managing AI projects and resources.  

Build a Natural Language Processing Solution with Azure AI Services (AI-3003) is a dynamic one-day course tailored for software developers keen on integrating AI capabilities into their applications utilizing Azure AI Services and Azure AI Language

The AI-3004: Build an Azure AI Vision with Azure AI Services certification is a hypothetical credential that would demonstrate expertise in implementing computer vision solutions using Microsoft Azure AI services.

In this course, you'll see how Azure AI Document Intelligence solutions can enable you to capture data from typed or hand-written forms

Azure Databricks is a cloud-scale platform for data analytics and machine learning. Data scientists and machine learning engineers can use Azure Databricks to implement machine learning solutions at scale.

Naive Bayes, K-nearest neighbours, Support Vector Machines, Artificial Neural Networks, K-means, Hierarchical clustering, Principal Components Analysis, Linear regression, Logistics regression, Random variables, Bayes theorem, Bias-variance tradeoff

This course adopts a totally real strategy to apply systems of Machine Learning to Quant Trading.

Through this course, entry-level professionals with no major expertise in programming can even learn to design & develop complex chatbots.

This program will teach you what it is, and you will begin to become a guru for learning the machine.