Prompt Engineering for LLMs
Completed by Maheshkumar Kailash Mudaliar
April 3, 2026
9 hours (approximately)
Maheshkumar Kailash Mudaliar's account is verified. Coursera certifies their successful completion of Prompt Engineering for LLMs
What you will learn
Create high-quality prompts that improve reasoning, clarity, and reliability in LLM outputs
Develop reusable prompt pipelines with systematic evaluation and optimization
Manage long context and conversational memory for multi-turn LLM interactions
Apply ethical, secure, and responsible prompt engineering practices in real-world applications
Skills you will gain
- Category: Large Language Modeling
- Category: Prompt Patterns
- Category: OpenAI
- Category: Context Management
- Category: Pandas (Python Package)
- Category: CI/CD
- Category: LangChain
- Category: Prompt Engineering
- Category: Prompt Engineering Tools
- Category: Safety and Security
- Category: Application Development
- Category: Multimodal Prompts
