Unit 1: LLM Architectures and Capabilities
Unit 2: How LLMs Process Prompts
Unit 3: Limitations and Development Environment
Advanced AI Prompt Engineering for Technical Roles
Master advanced prompt engineering techniques to unlock the full potential of LLMs for code generation, data analysis, and technical documentation.
Unit 1: Few-Shot Learning for Technical Tasks
Unit 2: Chain-of-Thought Prompting
Unit 3: Knowledge Generation Techniques
Unit 1: Iterative Prompt Refinement
Unit 2: Automated Prompt Engineering
Unit 3: Prompt Engineering Tools and Platforms
Unit 1: Code Generation with LLMs
Unit 2: Data Analysis with LLMs
Unit 3: Documentation and Reporting
Unit 4: Debugging with LLMs
Unit 1: Understanding Bias in LLMs
Unit 2: Mitigating Bias in Prompts and Responses
Unit 3: Ethical Implications and Responsible Use
Unit 4: Monitoring and Mitigation Strategies
Unit 1: Integrating Prompt Engineering with APIs
Unit 2: Scripting Prompt Engineering with Python
Unit 3: Automation and Orchestration