From Prompt Engineering to Agent Engineering

סקירה כללית

In today’s rapidly evolving AI landscape, mastering communication with large language models is more than a trend—it’s a strategic advantage. This course takes you from the foundational principles of prompt engineering to the advanced realm of agent engineering, equipping you with skills that are highly valuable in marketing, business operations, customer experience, and creative industries.

סילבוס

• Introduction to AI Communication
Overview of AI and Language Models
Importance of Effective Communication with AI
• Fundamentals of Prompt Engineering
Understanding Prompts
Designing Effective Prompts
Techniques for Refining Prompt Responses
Ethical Considerations in Prompt Design
• Advanced Prompt Engineering Techniques
Contextual Awareness in Prompts
Dynamic Prompting Strategies
Multi-Turn Interaction Design
• From Prompts to Agents
Defining AI Agents
Evolution from Static Prompts to Interactive Agents
Role of Agents in Various Industries
• Basics of Agent Engineering
Architecting AI Agents
Setting Agent Objectives
Integrating External Data Sources
• Advanced Agent Engineering
Behavior Modelling in AI Agents
Continuous Learning and Adaptation
Scaling and Deploying Agents
• Application of AI Agents
Case Studies in Marketing and Sales
Enhancing Customer Experience with AI Agents
Creative Applications and Innovations
• Practical Skills and Tools
Hands-on Workshop: Building and Testing Prompts
Workshop: Designing a Simple AI Agent
Tools and Platforms for Agent Development
• Ethics and Future Trends
AI Ethics in Prompt and Agent Engineering
Emerging Trends in Agent Technology
Preparing for the Future AI Landscape
• Course Conclusion
Recap and Key Takeaways
Pathways for Further Learning and Development

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נלמד על ידי

Anton Voroniuk and Anton Voroniuk Support

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נושאים

Computer Science