In this course you will learn how to design and deploy sophisticated AI agents without requiring extensive coding expertise. These agents can streamline workflows, enhance customer service, and unlock new levels of efficiency. Whether you’re a business professional, a developer, or simply an AI enthusiast, this course will provide you with the practical skills and knowledge to build and deploy your own custom AI agents.
Our AI Prompt Engineering course will equip you with the skills to effectively communicate with AI models, generating creative and innovative outputs. Learn to write effective prompts.
Introduction to AI and Prompt Engineering
- What is AI? A brief overview of artificial intelligence
- How AI models work: A simplified explanation of machine learning
- The concept of prompt engineering: Defining and understanding its role
- The importance of effective prompting: Why it matters
Fundamentals of Prompt Writing
- Prompt structure and components: Breaking down the elements of a good prompt
- Crafting clear and concise prompts: Avoiding ambiguity and maximizing clarity
- The art of specificity: Providing detailed instructions for desired outcomes
- Using keywords and phrases to guide AI generation
Advanced Prompt Engineering Techniques
- Prompt chaining: Building complex prompts step-by-step
- Prompt engineering for specific tasks: Tailoring prompts for different AI applications
- Leveraging AI’s creativity: Encouraging innovative and original outputs
- Fine-tuning prompts for desired style and tone
Real-World Applications of AI Prompting
- Content creation: Generating blog posts, articles, and social media content
- Marketing and advertising: Creating compelling ad copy and marketing materials
- Design and illustration: Generating design ideas and visuals
- Code generation: Automating coding tasks and debugging code
Introduction to Microsoft Copilot Studio
- Overview of AI agents and their applications.
- Understanding the Copilot Studio interface and its core components.
- Setting up your Copilot Studio environment.
- Basic agent concepts and terminology.
Building Your First AI Agent
- Creating a basic conversational agent.
- Designing conversational flows and topics.
- Utilizing the conversational builder.
- Basic testing and debugging.
Working with Entities and Variables
- Understanding entities and their role in agent interactions.
- Using variables to store and manipulate data.
- Implementing dynamic conversations.
- Using Generative AI within topic creation.
Enhancing Agent Capabilities
- Integrating with data sources.
- Implementing actions and workflows.
- Using Power Automate flows within Copilot Studio.
- Connecting to external API’s.
Advanced Agent Features
- Customizing agent behavior and appearance.
- Implementing advanced conversational logic.
- Handling complex user queries.
- Implementing Proactive conversations.
Deployment and Management
- Publishing your AI agent to various channels.
- Monitoring agent performance and analytics.
- Managing agent versions and updates.
- Best practices for agent deployment.
Practical Project
- Applying learned skills to build a real-world AI agent.
- Project planning, development, and deployment.
- Project presentations and feedback.