About
This course teaches you how to design, test, and automate prompts using Python to build reliable, production-ready AI systems. You will go beyond basic ChatGPT usage and learn how enterprises use prompt engineering to generate reports, analyze data, automate workflows, and control AI behavior at scale. By the end of the course, you’ll be able to programmatically interact with AI models, debug outputs, and integrate prompts into real business applications. What You Will Learn 🔹 Prompt Engineering Fundamentals Zero-shot, one-shot, and few-shot prompting Role-based and instruction-based prompts Structuring prompts for accuracy and consistency Controlling tone, format, and output quality 🔹 Prompting with Python Using AI APIs with Python Dynamic prompt generation Parameter tuning (temperature, max tokens, etc.) Handling responses programmatically 🔹 Business & Data Use Cases Automated business report generation Data analysis prompts (CSV, tables, summaries) AI-powered insights for sales & finance Prompting for decision support 🔹 Automation & Workflows Chaining prompts for multi-step tasks AI-driven document processing Email and workflow automation Error handling and retries 🔹 Debugging & Optimization Identifying hallucinations Improving response reliability Prompt versioning and testing Best practices used in production systems Hands-On Projects ✔ AI-powered business report generator ✔ Data analysis assistant using prompts ✔ Prompt-based automation script in Python ✔ Prompt debugging & optimization exercise Outcome By the end of this course, learners will be able to: Design high-quality prompts for real-world applications Use Python to automate and scale AI interactions Build reliable AI workflows for business use cases Apply prompt engineering best practices used in industry
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