AI Coding Assistantsin Abu Dhabi

40 Hours/5 daysLive virtual trainingFoundation

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Explore AI Coding Assistants

Explore AI Coding Assistants training to enhance software development productivity using AI-powered coding tools. Learn code generation, intelligent code completion, debugging, automated testing, code optimisation, and AI-assisted documentation. Understand how coding assistants support developers in improving code quality and streamlining development workflows through practical exercises and real-world scenarios. Join StepMerit's AI Coding Assistants course in Abu Dhabi, United Arab Emirates, to strengthen your programming skills and build expertise in modern AI-assisted software development.

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Course curriculum

Module 1: Introduction to AI Coding Assistants
- Understand AI coding assistants and their role in modern software development.
- Explore AI-assisted programming concepts, capabilities, and limitations.
- Identify common use cases across the software development lifecycle.
Module 2: Overview of Popular AI Coding Tools
- Explore tools such as GitHub Copilot, Amazon Q Developer, and other AI-powered coding assistants.
- Understand tool features, supported languages, and development environment compatibility.
- Compare capabilities and identify suitable tools for different programming tasks.
Module 3: Setting Up AI Coding Environments
- Configure compatible IDEs and AI coding assistant extensions.
- Understand account setup, authentication, and configuration options.
- Explore privacy settings and responsible tool usage.
Module 4: AI-Assisted Code Completion and Generation
- Generate code snippets using natural-language instructions.
- Understand inline suggestions and context-aware code completion.
- Refine generated code to meet specific functional requirements.
Module 5: Effective Instructions for Coding Assistants
- Write clear instructions for code generation and modification.
- Provide relevant context, constraints, examples, and expected outputs.
- Improve results through iterative instruction refinement.
Module 6: Working with Different Programming Languages
- Explore AI-assisted development with Python, Java, JavaScript, and other supported languages.
- Generate functions, classes, and reusable programming components.
- Review language-specific syntax and implementation suggestions.
Module 7: AI-Assisted Application Development
- Develop application components with AI coding support.
- Understand how to structure code into modules and reusable functions.
- Integrate generated components into existing projects.
Module 8: Code Explanation and Comprehension
- Use AI tools to understand unfamiliar code and programming logic.
- Generate explanations for functions, classes, and complex code segments.
- Analyse dependencies and identify areas requiring further investigation.
Module 9: Code Refactoring and Maintainability
- Explore AI-assisted code restructuring and simplification.
- Identify duplicated logic and opportunities for reusable components.
- Review suggested changes for readability, maintainability, and compatibility.
Module 10: Debugging and Error Analysis
- Use AI coding assistants to interpret error messages and stack traces.
- Investigate potential causes of syntax, runtime, and logic errors.
- Validate proposed fixes through execution and testing.
Module 11: AI-Assisted Software Testing
- Generate unit tests and basic test scenarios.
- Explore edge cases and potential failure conditions.
- Review test coverage and validate generated test code.
Module 12: Documentation and Technical Communication
- Generate code comments, docstrings, and technical summaries.
- Create initial documentation for functions, modules, and APIs.
- Review AI-generated documentation for accuracy and completeness.
Module 13: Working with Existing Codebases
- Understand how project context influences AI-generated suggestions.
- Explore assistance for navigating unfamiliar repositories.
- Review modifications for compatibility with existing architecture and conventions.
Module 14: Security, Privacy, and Responsible AI
- Identify security risks in AI-generated code.
- Understand confidential data handling and secure coding practices.
- Review generated code for vulnerabilities, unsafe dependencies, and inappropriate data exposure.
Module 15: Best Practices and Productivity Workflows
- Incorporate AI coding assistants into daily development activities.
- Establish review practices for accepting, modifying, or rejecting suggestions.
- Balance AI assistance with independent reasoning and developer judgement.
Module 16: Capstone Project and Practical Assessment
- Build a small application or feature using an AI coding assistant.
- Apply code generation, debugging, testing, and documentation techniques.
- Evaluate the solution for correctness, readability, security, and maintainability.
- Present project results and document the AI-assisted development process.

Course Delivery

Instructor-led sessions covering AI coding assistant concepts and practical workflows.
Demonstrations of AI-assisted programming, code review, debugging, and testing.
Hands-on exercises using compatible development environments and AI coding tools.
Practical assignments designed around common software development scenarios.
Capstone project to demonstrate AI-assisted development skills through StepMerit training in Abu Dhabi, United Arab Emirates.

Exam details

Exam Level: Beginner to Intermediate – AI Coding Assistants.
Exam Type: Online computer-based assessment comprising multiple-choice questions (MCQs), scenario-based questions, and code analysis exercises.
Number of Questions: 40 questions.
Exam Duration: 90 minutes.
Passing Score: 70% (28 out of 40 questions), subject to StepMerit confirmation.
Practical Assessment: May include code analysis, generated-code validation, debugging scenarios, test case preparation, and AI-assisted programming exercises.
Evaluation Criteria: Learners are evaluated on their understanding of AI coding assistants, code interpretation, solution validation, problem-solving, and responsible AI usage.
Exam Preparation: Review the course modules, practise with compatible AI coding assistants, complete programming exercises, and revise debugging, testing, and code review concepts.
Certification: Eligible learners may receive a StepMerit Certificate of Course Completion upon meeting the programme requirements.
Training and Assessment Support: StepMerit provides learning resources and practical guidance through AI Coding Assistants training in Abu Dhabi, United Arab Emirates.
Important Note: The exam format, question count, duration, and passing score should be confirmed by StepMerit before publication. The course completion certificate is not an official third-party technology certification.

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Who this course is for

Software Developers Python Programmers Java Developers Web Developers IT Professionals Computer Science Students Recent Graduates Application Developers Quality Assurance Engineers DevOps Engineers Technical Consultants Software Engineering Team Leads Freelance Developers Aspiring AI-Assisted Developers Technology Entrepreneurs

Before you begin

Basic Programming Knowledge – Understand variables, data types, functions, loops, and conditional statements. Familiarity with Programming Languages – Basic knowledge of Python, Java, JavaScript, C++, or another programming language is recommended. Understanding of Software Development – Learn the fundamentals of writing, testing, debugging, and maintaining code. Knowledge of Integrated Development Environments (IDEs) – Familiarity with tools such as Visual Studio Code, IntelliJ IDEA, or other code editors is beneficial. Basic Git and Version Control Knowledge – Understand repositories, commits, branches, and version control workflows. Understanding of AI Fundamentals – Have a basic…

Learning outcomes

Problem Statement An e-commerce company wants to improve its online shopping platform by enhancing product search, shopping cart functionality, order processing, and customer support. The development team faces challenges maintaining existing code, fixing application errors, creating test cases, and delivering new features within tight deadlines. Manual coding and debugging require considerable effort, while inconsistent documentation and insufficient test coverage can introduce defects. The company wants to explore AI coding assistants to support software development, improve code maintainability, and accelerate routine development tasks without compromising security or quality. How Did We…

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Room facilities / classroom arrangements

General planning information. Availability is confirmed for your selected venue and batch.

Typical classroom arrangements — subject to confirmation for the selected batch: 1. Learning space and seating: A suitable room layout with seating and desk space for course discussions and exercises. 2. Presentation equipment: A display or projector for instructor-led explanations; equipment requirements are confirmed before delivery. 3. Internet and power: Connectivity and charging access where needed for the course’s digital resources or labs. 4. Collaboration tools: A whiteboard or flip chart for group activities, demonstrations and note-taking. 5. Room comfort: Appropriate lighting and ventilation, with breaks included in the agreed training schedule. 6. Access and learner needs: Accessibility, refreshments and any specific accommodation requirements should be discussed with the adviser in advance. This is general planning information. It does not confirm a particular venue, equipment package or included refreshments.

Course expertise

Professional Experience: 5+ years in software development, programming, debugging, and software testing. Training Experience: 120+ hours of technical training in AI coding tools and software development, if verified. Candidates Trained: 180+ candidates, including students, developers, and IT professionals, if verified. Technical Expertise: AI-assisted code generation, debugging, code review, testing, documentation, and AI coding tools. Training Methodology: Instructor-led sessions, live demonstrations, hands-on exercises, and practical projects. Practical Experience: AI-assisted application development, code validation, troubleshooting, and secure coding practices.

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Insights for AI Coding Assistants

Learning insight 01

AI Coding Assistants: A Complete Guide to AI-Powered Software Development

Artificial intelligence is transforming software development by helping programmers generate code, understand unfamiliar applications, identify errors, and improve development workflows. AI Coding Assistants are AI-powered tools that support developers through intelligent code completion, natural-language code…

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Dubai Sharjah Ajman Ras Al Khaimah