AI and Machine Learning

This is a comprehensive and beginner level course designed to provide a solid foundation in the field of artificial intelligence (AI) and its applications within the Microsoft Azure ecosystem. In this course you will learn about fundamental AI concepts, such as machine learning, computer vision, natural language processing, and conversational AI.

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.

Artificial intelligence (AI) and machine learning (ML) are opening up new ways for enterprises to solve complex problems, but they will also have a profound effect on the underlying infrastructure and processes of IT.