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Introduction to DChat and Prompt Engineering Foundations

Getting Started with DChat and Gemini Pro 2.5

Principles of Effective Prompt Engineering for Mainframe Developers

Mastering Code Comprehension and Generation

Analyzing and Understanding Legacy Code

Generating Code Snippets and Refactoring

Database Querying and Documentation Automation

Writing SQL Queries from ERD Attachments

Generating Technical and Business Documentation

Advanced Validation and AI-Assisted Code Reviews

Conducting Code Reviews Against Specifications

Quiz

Knowledge Check: DChat and Gemini Pro 2.5 Basics

Knowledge Check: Prompt Engineering Principles

Knowledge Check: Code Comprehension and Generation

Knowledge Check: SQL and Documentation Prompts

Knowledge Check: AI-Assisted Code Reviews

Course Evaluation

End of Course Feedback Survey

Welcome to "Prompt Engineering Foundations in DChat for COBOL and JCL Developers. " As the mainframe industry evolves, integrating modern AI tools with legacy systems is no longer just an option—it is a necessity.

Welcome to "Prompt Engineering Foundations in DChat for COBOL and JCL Developers." As the mainframe industry evolves, integrating modern AI tools with legacy systems is no longer just an option—it is a necessity. This comprehensive course is specifically designed for Mainframe professionals who want to leverage the power of DChat and the Gemini Pro 2.5 model to revolutionize their daily workflows. Throughout this course, you will discover how to bridge the gap between traditional COBOL/JCL development and cutting-edge Large Language Models (LLMs).

We will dive deep into the CTIF (Context, Task, Instructions, Format) framework, teaching you how to craft highly effective prompts tailored for legacy code comprehension, refactoring, and documentation. You will learn how to securely attach proprietary files, analyze complex JCL job streams, and extract hidden business rules from undocumented COBOL programs. Furthermore, the course covers advanced techniques such as generating DB2 SQL queries from Entity-Relationship Diagrams (ERDs), automating technical and business documentation, and conducting AI-assisted code reviews to ensure compliance with organizational standards. 

Whether you are looking to modernize legacy structures, replace outdated GOTO statements, or simply speed up your development cycle, this course provides the practical skills and hands-on knowledge you need. Join us to transform your mainframe expertise with the efficiency of AI and stay ahead in the rapidly changing landscape of software engineering.

יסודות הנדסת פרומפטים ב-DChat למפתחי COBOL ו-JCL

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            <p>The landscape of mainframe development is undergoing a significant transformation, demanding that seasoned professionals integrate modern artificial intelligence into their established workflows. For experts deeply versed in COBOL and JCL, the challenge often lies not in understanding complex legacy logic, but in effectively leveraging new, accessible tools to streamline daily operations. This course is meticulously designed to bridge that gap, introducing the fundamentals of prompt engineering within the DChat environment, powered by the advanced Gemini Pro 2.5 model. By mastering precise communication with Large Language Models (LLMs), developers can significantly reduce the time spent on routine analysis, code refactoring, and documentation, thereby accelerating the overall development lifecycle while maintaining the rigorous standards required in enterprise mainframe environments.</p>

<p>Throughout this comprehensive curriculum, participants will explore highly practical applications tailored specifically for mainframe architecture. The instruction begins with the core principles of effective prompt engineering, utilizing the CTIF (Context, Task, Instructions, and Format) framework to extract precise, actionable insights from the AI. From there, the focus shifts to critical daily tasks: analyzing undocumented legacy programs, generating accurate COBOL and JCL code snippets, and executing modern refactoring strategies. Furthermore, the course delves into advanced capabilities, such as translating attached Entity-Relationship Diagrams (ERDs) into optimized DB2 SQL queries and automating the generation of comprehensive technical and business documentation. Ultimately, developers will learn to conduct sophisticated, AI-assisted code reviews against technical specifications, ensuring that all generated solutions are secure, logically sound, and fully compliant with organizational coding standards.</p>
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