Understanding Semantic Kernel

[mitsumi]

Understanding Semantic Kernel



Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 927.05 MB | Duration: 2h 9m

Empowering Business Applications with AI-Driven Plugins Using Semantic Kernel


What you'll learn
Understand the Core Concepts of Semantic Kernel and AI Plugins
Gain Proficiency in Prompt Engineering for Business Contexts
Develop Skills in Creating and Managing Skills and Plugins within the Semantic Kernel SDK
Implement and Deploy AI Plugins in .NET Business Applications
Optimize AI Plugins for Real-World Business Applications
Leverage Azure OpenAI and Azure Services for Advanced AI Capabilities
Build Business-Relevant AI Solutions Through Practical Projects
Requirements
Familiarity with .NET
C# proficiency
Description
Unlock the power of AI-driven business solutions with the Semantic Kernel SDK by integrating AI in business applications with this comprehensive course designed to equip business application developers and business thinkers with the skills to build, integrate, and deploy AI-powered plugins using Microsoft's Semantic Kernel SDK.As organizations increasingly rely on data and intelligent systems to drive productivity, efficiency, and customer engagement, understanding how to harness AI in business applications is essential. This course is tailored for developers and business professionals leveraging AI plugins to streamline workflows, enhance user experiences, and drive impactful business outcomes.What You'll Learn:In this course, you'll explore the Semantic Kernel SDK, a powerful toolkit that simplifies the integration of large language models (LLMs) like OpenAI's GPT into business applications. We'll cover everything from foundational concepts to advanced techniques, ensuring that you gain a well-rounded understanding of how to build intelligent plugins for enterprise use. Topics include:Introduction to Semantic Kernel SDK: Understanding what Semantic Kernel is, its core functionalities, and its role in AI plugin development.Prompt Engineering for Business Solutions: Learn to craft effective prompts that optimize LLM responses for specific business needs, such as customer support, data analysis, and decision-making assistance.Creating and Deploying AI Skills: Develop custom skills within the Semantic Kernel framework to perform targeted tasks, like automating repetitive workflows, summarizing content, and generating insights.Building and Configuring Plugins: Delve into the architecture of plugins, including setting up configuration parameters, managing inputs and outputs, and aligning plugins with business requirements.Integration with Business Applications: Learn how to embed AI plugins within existing business systems, from CRM platforms to data analytics dashboards, to unlock real-time insights and automation capabilities.Optimizing and Scaling AI Plugins: Understand strategies for ensuring your plugins are robust, responsive, and scalable for enterprise use, including cloud deployment and integration with additional Azure services.Why This Course Stands Out:This course offers a unique, hands-on approach that goes beyond theory. You'll complete coding activities and mini-projects in each module, allowing you to apply your knowledge in real-world scenarios. By the end of the course, you'll have built multiple AI plugins that you can directly use in business environments.This course also caters to both technical and business-focused learners. For developers, it provides in-depth technical insights into SK's architecture and code practices. For business thinkers, it offers a high-level understanding of defining AI-driven solutions and transforming ideas into functional tools that align with organizational goals.Practical Applications of Your Knowledge:After completing this course, you'll be ready to apply AI plugins in practical, business-enhancing ways, such as:Automating Data Extraction and Reporting: Use plugins to pull insights from large datasets, generate reports, and perform routine data processing tasks, freeing up time for your team to focus on strategic projects.Enhancing Customer Support: Develop plugins that can analyze customer interactions, suggest relevant solutions, and respond to FAQs, improving customer service efficiency.Boosting Decision-Making Capabilities: Build AI-powered plugins that provide predictive insights, trend analysis, and data-driven recommendations for leaders and decision-makers.Streamlining Content Creation: Use Semantic Kernel to create tools that generate, summarize, and analyze content quickly, enabling teams to produce high-quality outputs with less effort.Optimizing Sales and Marketing Efforts: Integrate plugins into CRM systems to offer sales teams real-time insights on customer preferences, lead scoring, and personalization strategies.Who Should Enroll:This course is ideal forevelopers and Software Engineers looking to expand their AI skillset and apply Semantic Kernel to build intelligent plugins.Business Analysts and Project Managers interested in learning how AI plugins can transform data into actionable insights and streamline business operations.Tech-savvy business Thinkers who want to harness the power of AI to enhance their organization's capabilities, even if they aren't coding experts.Transform the Way You Build Business SolutionsBy the end of this course, you'll have the skills and confidence to create AI-powered plugins that can revolutionize business applications. Join us and take the next step in modernizing your organization's processes, enhancing productivity, and staying competitive in today's data-driven world.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Introduction to Semantic Kernel
Lecture 2 Section Overview
Lecture 3 What is an LLM?
Lecture 4 What is Generative AI?
Lecture 5 What is Semantic Kernel?
Lecture 6 Why use the Semantic Kernel?
Lecture 7 Understanding AI Agents in Business Context
Lecture 8 Section Review
Section 3: Environment Setup
Lecture 9 Section Overview
Lecture 10 Using Visual Studio (Windows Only)
Lecture 11 Visual Studio Code
Lecture 12 Microsoft Azure Account
Lecture 13 Section Review
Section 4: Build Your Kernal
Lecture 14 Section Overview
Lecture 15 What is the kernel?
Lecture 16 How to build your kernel
Lecture 17 Create Azure OpenAI Resource
Lecture 18 Build a chat completion app
Lecture 19 Section Review
Section 5: Semantic Kernel Plugins
Lecture 20 Section Overview
Lecture 21 Introduction to plugins
Lecture 22 Using built-in Time plugin
Lecture 23 Using Conversation Summary plugin
Lecture 24 Understanding prompts
Lecture 25 Create career advisor with prompt template
Lecture 26 Adding personas to prompts
Lecture 27 Career advisor with persona
Lecture 28 Saving prompts to files
Lecture 29 Create semantic career assistant plugin
Lecture 30 Section Review
Section 6: Native Functions and Plugins
Lecture 31 Section Overview
Lecture 32 Understanding native functions
Lecture 33 Creating native functions for career tracking AI Agent
Lecture 34 Using Native functions in AI Agent
Lecture 35 Combining Functions with Prompts
Lecture 36 Using functions in prompts
Lecture 37 Automatically invoking functions
Lecture 38 Setting automatic function invocation
Lecture 39 Section Review
Section 7: Create Web Chat Assistant
Lecture 40 Coming Soon - Building a Chat Assistant with Semantic Kernel in .NET
Business application developers,Aspiring AI Developers
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