Artificial Intelligence Tools Training | Generative AI In Software Development Training Course in Dammam

Generative AI in Software Development Training Course Outline

Module 1: AI Foundations for Developers

• What is Generative AI and How LLMs Work
• AI in the Software Engineering Workflow
• AI Capabilities and Limitations
• Activity: Spot the Hallucination — Real LLM Output Analysis

Module 2: AI Tools Landscape

• ChatGPT for Developers
• GitHub Copilot in the IDE
• Claude and Gemini as Coding Assistants
• Cursor: AI-Native Code Editor
• Comparing AI Coding Assistants
• Activity: First-Look Tool Exploration

Module 3: Prompt Engineering

• Prompt Design Principles
• Context Engineering for Code Tasks
• Using Constraints to Shape Output
• Iterative Prompting Techniques
• Prompt Optimisation and Reuse
• Exercise: Prompt Refinement for a Real Task

Module 4: AI-Assisted Software Development

• Generating Code from Requirements
• API Development with AI Assistance
• SQL Generation and Query Optimisation
• Refactoring Code with AI
• Applying Design Patterns via AI
• Legacy Code Modernisation
• Lab: Code Generation and Refactoring Sprint

Module 5: Testing, Debugging, and Code Review

• Generating Unit and Integration Tests with AI
• Test Case Generation from Specifications
• Debugging with AI: Root Cause Analysis
• Error Analysis and Fix Validation
• AI-Driven Code Review
• Lab: Write and Run AI-Generated Tests

Module 6: Developer Productivity and Documentation

• Auto-Generating README Files and Inline Comments
• Writing Commit Messages and Pull Request Descriptions
• Technical Documentation from Code
• Exercise: Document a Real Code Module

Module 7: Security, Governance, and Responsible AI

• Secure AI Usage in Development Workflows
• Understanding and Mitigating AI Hallucinations
• Validating and Reviewing AI Output
• Intellectual Property and Code Licensing Risks
• Data Privacy and Confidential Code
• Responsible AI Principles for Developers

Module 8: Enterprise Adoption and Future Directions

• AI Across the Full SDLC
• Integrating AI into Developer Workflows
• Team Collaboration with AI Tools
• AI Governance Policies and Best Practices
• Introduction to AI Agents in Development
• Future Trends in AI-Augmented Engineering
• Workshop: Team AI Adoption Action Plan

Who should attend this Generative AI in Software Development Training Course?

This Generative AI in Software Development Course is designed for a broad range of professionals and individuals interested in harnessing the power of AI-driven Software Development. However, this training will be specifically beneficial for the following professionals:

• AI Engineers
• Software Developers
• Quality Assurance Engineers
• Machine Learning Developers
• DevOps Engineers
• IT Managers
• AI Software Quality Analysts
• AI Compliance Managers

Prerequisites of the Generative AI in Software Development Training Course

There are no formal prerequisites for attending this Generative AI in Software Development Course.

Generative AI in Software Development Training Course Overview

Generative AI is revolutionising the software development field by enabling the creation of new content, code, and solutions through advanced algorithms and machine learning models. This technology is becoming increasingly important as it offers innovative methods to optimise development processes, minimise manual coding, and boost creativity in software engineering.

Understanding generative AI is essential for professionals aiming to stay ahead in the tech industry. It is particularly advantageous for Software Developers, Data Scientists, Ai Enthusiasts, and IT Managers who seek to leverage AI capabilities to enhance productivity and drive innovation within their teams and organisations.

This 1-day training by the Knowledge Academy provides delegates with a thorough understanding of generative AI and its applications in software development. Through hands-on exercises and expert-led sessions, attendees will learn how to implement generative AI techniques to streamline development workflows, improve software quality, and foster innovation.

Course Objectives

• To explore advanced concepts and applications of AI-driven software generation
• To understand ethical considerations and principles in AI-driven software development
• To acquire practical strategies for effective AI-driven software development
• To contribute to bias mitigation in AI algorithms within software development
• To emphasise the importance of ethical AI and maintaining transparency and accountability

Upon finishing this Generative AI in Software Development Course, the delegates are likely to develop extra capabilities and gain practical skills, which will make them specialists able to maintain the Generative AI-controller software development processes. Specific experience in the area tends to benefit job seekers and allow companies to be efficient in their ways of integrating AI technology with software development over time.

What’s included in this Generative AI in Software Development Training Course?

• World-Class Training Sessions from Experienced Instructors
• Generative AI in Software Development Certificate
• Digital Delegate Pack