Prompting with Agentic Techniques
40mBeginner2025-12-01
Authors
Ray Villalobos
Senior Staff Instructor at LinkedIn Learning
Course details
Discover how prompting is evolving from single-task requests to agent-driven collaboration. You’ll learn to use integrated tools for research, planning, and automation through deep searches, custom projects, and browser-based agents that work alongside you.
Learning objectives
Apply agentic prompting to plan and automate multi-step processes.
Explain how prompting has evolved from single-task inputs to agentic collaboration.
Combine prompting strategies to design efficient, agent-assisted workflows.
Identify the key capabilities of AI agents.
Demonstrate how to conduct deep research using browsing and data tools.
Experiment with Agent Mode to understand how context and action work together.
Learning objectives
Apply agentic prompting to plan and automate multi-step processes.
Explain how prompting has evolved from single-task inputs to agentic collaboration.
Combine prompting strategies to design efficient, agent-assisted workflows.
Identify the key capabilities of AI agents.
Demonstrate how to conduct deep research using browsing and data tools.
Experiment with Agent Mode to understand how context and action work together.
Skills covered
OpenAI ChatGPTPromptingChatGPTOpenAIAI Productivity and Everyday UseOne-Off
Concepts
Introduction
- The evolution of prompting
Agentic Prompting
- From prompts to agents
- The power of context
- Using search agents
- Using the developer agent
- Using connectors with AI-powered data
- Agentic task scheduling
Advanced Agents
- Using projects in agentic workflows
- Building custom agents
- Deep research agents
- Using agent mode
- Agentic browsers with chatbot integration