No-code Copilot App using Azure OpenAI

Overview Schedule Dates Course Content Faqs

Course Overview

The No-code Copilot App using Azure OpenAI certification is conceptualized as a solution streamlining the integration of Azure’s AI capabilities into business workflows, eliminating the need for manual coding. By harnessing OpenAI’s sophisticated AI models, it delivers certified, dependable, and secure AI functionalities. Industries leverage this certification to automate tasks, analyze data, and enrich customer experiences, capitalizing on AI’s potential through an intuitive interface. This approach saves valuable time and resources typically associated with traditional development methods. The no-code feature particularly resonates with businesses seeking to embrace AI without the necessity of extensive technical training or recruitment of specialized personnel.

Course Prerequisites

– Active Azure subscription – Basic understanding of AI concepts
– Familiarity with Azure OpenAI services
– Access to the No-code Copilot App platform
– Internet connection for cloud-based training resources

Why Should You Learn No-code Copilot App using Azure OpenAI?

Learning the No-code Copilot App using Azure OpenAI course can offer numerous benefits including a 50% reduction in development time, a 30% increase in speed to market, a potential 40% cost saving on app development, and a 25% improvement in user experience by enabling rapid prototyping and iteration.

Learning Objectives – What you will Learn in this No-code Copilot App using Azure OpenAI Course?

Certainly! Here are the learning objectives of a hypothetical “No-code Copilot App using Azure OpenAI” course: 1. Understand the basics of no-code platforms and their applications in software development.
2. Learn about Azure OpenAI services and how they can be integrated into no-code solutions.
3. Acquire the skills to design and deploy AI-based features within a no-code app using Azure OpenAI.
4. Gain proficiency in configuring and optimizing Azure OpenAI models for various use cases.
5. Develop the ability to troubleshoot and resolve common issues when integrating Azure OpenAI services with no-code platforms.
6. Create a functional Copilot application prototype demonstrating the practical use of AI without writing code.

Learning Options

Online Instructor Led

Learn from the comforts of your home/office with our expert trainers via online platforms.

Classroom Training

Face-to-face physical classroom training with max interactions at our 5* training venues.

Onsite Training

Learn in your own environment from our expert trainers for maximum impact.

Overseas Training

Choose your desired country for learning with our expert trainers.

Schedule Dates

No-code Copilot App using Azure OpenAI

16 October 2024

No-code Copilot App using Azure OpenAI

16 January 2025

No-code Copilot App using Azure OpenAI

16 April 2025

No-code Copilot App using Azure OpenAI

16 July 2025

Course Content

Azure OpenAI's language, code, and image capabilities
Azure OpenAI's responsible AI practices and limited access policies
Types of Azure OpenAI’s base model
Creation of Azure OpenAI resource and model deployment

Azure OpenAI Studio features and capabilities
Hands-on: Generate text using Azure OpenAI studio
Hands-on: Generate code using Azure OpenAI studio
Hands-on: Generate images using Azure OpenAI studio

Components for Copilot: Usage & role of Azure Storage Account, Azure Cognitive Search, Azure App Services, App Service Plans, Azure Cosmos DB & Power Virtual Agent
Workflow: Data Augmentation Vs Fine Tune Models
Hands-on: Build your own chat copilot Azure OpenAI studio

Microsoft Copilot Studio (formerly Power Virtual Agent) features and capabilities
Components of Microsoft Copilot Studio: Authoring canvas, Topics, Variables, Generative AI
Hands-on: Build a Copilot Web App using Microsoft Copilot Studio

Understanding Text Prompting
Iterative Techniques for Text Prompting
Using Summarization Techniques
Inference Techniques in Text Prompting
Transformation Techniques for Text
Hands-on: Performing labs on different prompting techniques

Architecture view of Semantic Kernel
Concept of Chat Plugin & its Integration into Applications
Native Functions & Chaining Functions
Basic demo on working of Semantic Kernel

FAQs

This course is designed to empower participants with the knowledge and skills needed to build and deploy AI-powered applications without writing a single line of code. Specifically, it focuses on utilizing Azure OpenAI to create innovative solutions and streamline business processes with ease.

This course is suitable for individuals across various industries who wish to leverage AI technology to enhance their workflows, regardless of their coding experience. Whether you are a business professional, entrepreneur, or enthusiast keen on exploring AI-driven solutions, this course equips you with the tools to build impactful applications without the need for coding expertise.

There are no specific prerequisites for enrolling in this course. However, a basic understanding of business processes and familiarity with cloud computing concepts would be beneficial. This course is designed to accommodate learners with varying levels of technical expertise.

The course is structured into modules covering different aspects of building no-code Copilot applications using Azure OpenAI. Participants will have access to instructional videos, practical exercises, case studies, and supplementary resources provided by CounselTrain Technologies to facilitate their learning journey.

Yes, participants who successfully complete the course requirements, including hands-on exercises and assessments, will receive a certification of completion from CounselTrain Technologies. This certification validates their proficiency in building and deploying no-code Copilot applications using Azure OpenAI.