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Azure OpenAI Training

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Dive deep into Azure with the Mastering Azure OpenAI course by Multisoft ! Unlock cloud potentials, harness OpenAI capabilities, and spearhead innovations. Enroll now for a transformative learning experience!

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The Mastering Azure OpenAI course presented by Multisoft a meticulously curated program designed to empower participants with a profound understanding of Azure's cloud infrastructure and the breakthrough technologies of OpenAI. The course unfolds with an introductory comprehension of Azure fundamentals, progressively delving into its advanced functionalities. Simultaneously, attendees will immerse themselves in the groundbreaking world of OpenAI, exploring its vast capabilities and real-world applications.

Throughout the sessions, learners will gain hands-on experience by working on real-time projects, ensuring practical knowledge acquisition. The curriculum encompasses essential modules on Azure's integrated tools, data storage solutions, and OpenAI's GPT frameworks. By the culmination of the course, participants will not only possess a holistic understanding of Azure and OpenAI's integration but will also be equipped with the skillset to deploy and manage AI solutions effectively. Enroll now and embark on a transformative journey towards mastering Azure and OpenAI landscapes.

  • Overview of Generative AI
  • Introduction to Azure OpenAI Service
  • Azure AI Ecosystem
  • Azure OpenAI Architecture
  • Use Cases and Business Applications
  • Azure OpenAI vs Public OpenAI

  • Azure OpenAI Models Overview
  • GPT Models
  • Embeddings Models
  • Model Capabilities and Limitations
  • Tokens and Context Windows
  • Model Selection Best Practices

  • Introduction to Azure AI Studio
  • Workspace Configuration
  • Resource Management
  • Model Deployment
  • Playground Usage
  • Prompt Flow Overview

  • Prompt Engineering Fundamentals
  • Zero-Shot Prompting
  • Few-Shot Prompting
  • Chain-of-Thought Prompting
  • Structured Prompt Design
  • Prompt Optimization Techniques
  • Prompt Testing and Evaluation

  • Azure OpenAI API Overview
  • Authentication and Security
  • API Requests and Responses
  • Chat Completions API
  • Embeddings API
  • Error Handling
  • API Best Practices

  • Chatbot Development
  • AI Assistants
  • Content Generation Solutions
  • Document Summarization
  • Knowledge Management Applications
  • Customer Support Automation

  • Understanding Embeddings
  • Semantic Search Concepts
  • Vector Databases Overview
  • Similarity Search
  • Knowledge Retrieval
  • Enterprise Search Applications

  • Introduction to RAG
  • RAG Architecture
  • Data Ingestion and Indexing
  • Knowledge Base Integration
  • Context Retrieval
  • Response Generation
  • RAG Best Practices

  • Azure AI Search Overview
  • Index Creation
  • Search Configuration
  • Semantic Search
  • Hybrid Search
  • Integration with Azure OpenAI

  • Azure OpenAI Security Features
  • Data Privacy
  • Content Filtering
  • Responsible AI Principles
  • Compliance and Governance
  • Enterprise Security Best Practices

The learning objectives of the Mastering Azure OpenAI course by Multisoft would be:

  • To familiarize students with the Azure OpenAI platform, enabling them to create, implement, and manage AI models effectively.
  • Learn how to use Azure resources to enhance the performance of their artificial intelligence applications.
  • Students would be taught to integrate these AI services with other Azure services to build comprehensive solutions.
  • They would also learn about the security, privacy, and compliance features of Azure OpenAI.

Azure OpenAI Service provides access to advanced AI models through Microsoft Azure, enabling organizations to build secure, scalable, and enterprise-ready Generative AI applications.

This training is suitable for developers, cloud professionals, AI engineers, solution architects, and organizations looking to implement Generative AI solutions on Microsoft Azure.

The course covers Azure OpenAI Service, GPT models, prompt engineering, Azure AI Studio, embeddings, vector search, RAG, AI APIs, deployment, security, and enterprise AI integration.

Basic programming knowledge is recommended, as participants will work with Azure services, APIs, AI models, and application integration scenarios.

Participants will learn to deploy AI models, build AI-powered applications, integrate Azure OpenAI APIs, implement RAG solutions, manage AI workloads, and develop secure enterprise AI solutions on Microsoft Azure.

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This Course Includes:
  • Globally Recognized Certification
  • 32+ Hrs. of Expert-Led Training
  • Interactive Live Masterclasses
  • Practical, Hands-On Learning
  • Build Your Own AI-Powered App
  • multisoft ai tools Explore a Multiple AI Tools
  • multisoft ai tools Unlimited Practice Assessments
  • multisoft ai tools Lifetime LMS Access
  • multisoft ai tools Recorded Live Sessions
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  • 30 hours of personalized Salesforce training
  • Direct one-to-one sessions with expert trainers
  • 100% practical-oriented classes tailored to your pace
  • Includes resources and study materials
  • Latest version curriculum covered in detail
  • Flexible timing to suit your schedule
  • 24×7 learner assistance
  • Certification guidance provided
  • Post-training community and expert support
  • Lifetime access to training materials
  • Personalized career interview tips

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  • Includes Self-Paced learning access
  • Live demonstrations of industry-ready skills
  • Virtual instructor-led training (VILT) classes
  • Real-time projects & certification guidance

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  • Flexible scheduling (on-site or virtual)
  • Industry expert trainers with domain experience
  • Real-world case studies & hands-on practice
  • Focus on improving team productivity & skill application
  • Custom reporting & performance tracking
  • Access to post-training resources
  • Long-term upskilling partnership options

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