AI Enabled Software Engineering Training in Manchester

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 1 Day
  • Level: Intermediate
  • Price: From £1,034
  • Upcoming Date:
  • UK Based Global Training Provider

Artificial intelligence is reshaping how software is designed, developed, tested, and maintained. This course explores how generative AI can be used as a practical development partner across the software engineering lifecycle.

Learners will gain hands-on experience using AI tools to support coding, debugging, documentation, and problem solving. The course places a strong emphasis on prompt engineering, helping participants produce structured, relevant, and reliable outputs from AI systems.

Through guided demonstrations, collaborative exercises, and real-world scenarios, learners will practise writing and refining prompts for common engineering tasks. They will also develop the critical thinking skills needed to evaluate AI-generated outputs and improve them through structured iteration.

By the end of the course, participants will be able to confidently integrate AI assistants into their daily workflows and use advanced prompting techniques to enhance productivity and software quality.

We can organize this training at your preferred date and location. Contact Us!

Prerequisites

Participants should have:

  • Basic software engineering experience, including programming concepts
  • Familiarity with an integrated development environment such as Visual Studio Code
  • Understanding of software development practices such as debugging, testing, and documentation
  • An interest in applying AI tools to improve development efficiency

Target audience

This course is designed for:

  • Software engineers and developers looking to integrate AI tools into their workflows
  • Engineering teams aiming to improve productivity using generative AI
  • Technical leads and architects exploring AI-assisted development capabilities
  • DevOps engineers and technical professionals working closely with development teams

What You Will Learn

By the end of this course, learners will be able to:

  • Identify high-impact use cases for generative AI in software engineering
  • Explain the importance of human oversight when working with AI systems
  • Configure and use an AI coding assistant within a development environment
  • Write effective prompts for coding, debugging, and documentation tasks
  • Critically evaluate and refine AI-generated outputs
  • Integrate AI tools into day-to-day engineering workflows with confidence

Training Outline

Introduction to AI in software engineering

  • Overview of generative AI and its role in modern development
  • Key capabilities and limitations of AI coding assistants
  • Understanding AI as a development partner
  • Identifying suitable use cases across the software lifecycle

Setting up AI-assisted development environments

  • Overview of AI coding tools and integrations
  • Configuring AI assistants in development environments
  • Working with extensions and plugins
  • Security and privacy considerations when using AI tools

Prompt engineering fundamentals

  • Principles of effective prompt design
  • Structuring prompts for clarity and precision
  • Techniques for improving output quality
  • Common prompting mistakes and how to avoid them

Using AI for coding and development

  • Generating code snippets and functions
  • Refactoring and optimising existing code
  • Exploring alternative implementations
  • Supporting multiple programming languages and frameworks

Debugging and problem solving with AI

  • Using AI to identify and fix errors
  • Analysing logs and error messages
  • Step-by-step debugging with AI assistance
  • Validating and testing AI-suggested fixes

Documentation and knowledge generation

  • Generating technical documentation
  • Creating code comments and explanations
  • Producing user guides and knowledge base content
  • Maintaining consistency and accuracy in documentation

Evaluating and refining AI outputs

  • Assessing relevance and correctness of AI responses
  • Identifying hallucinations and inaccuracies
  • Iterative prompt refinement techniques
  • Establishing validation workflows

Collaborative workflows with AI

  • Integrating AI into team development practices
  • Using AI in code reviews and collaboration
  • Balancing automation with human expertise
  • Ethical considerations and responsible AI use

Applying AI in real-world scenarios

  • End-to-end development scenarios
  • Case studies of AI-assisted engineering
  • Measuring productivity and efficiency gains
  • Adapting workflows for continuous improvement

Exams and assessments

This course does not include a formal exam.

Hands-on learning

Learners will complete knowledge checks, instructor-led discussions, and practical lab exercises throughout the course to reinforce key concepts and validate their understanding.

Why Choose Us

Experience AI Enabled Software Engineering in Manchester through Bilginç IT Academy's live and interactive virtual classroom environment, accessible from your home, office, or any location. Connect with expert trainers in real time and bring the energy of classroom learning into the digital experience.

  • Live Instructor-Led Sessions: Join scheduled training sessions with your instructor and fellow delegates in real time.
  • Interactive Learning Experience: Take part in discussions, practical exercises, group activities, and Q&A sessions throughout the course.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's long-standing experience in delivering professional training since 1995.
  • Flexible and Scalable Delivery: Access live virtual classrooms from Manchester and worldwide, with flexible planning options for individual and corporate training needs.

Experience AI Enabled Software Engineering in a focused classroom environment in Manchester. Bilginç IT Academy's carefully selected training venues provide a professional setting where delegates can interact directly with expert trainers and peers.

  • Experienced Trainers: Learn from specialists with extensive field experience and real-world knowledge.
  • Professional Training Venues: Attend courses in comfortable, well-equipped classrooms designed to support effective learning.
  • Focused Classroom Experience: Benefit from limited class sizes that encourage discussion, interaction, and personalized support.
  • Quality-Driven Learning: Develop practical skills through structured, up-to-date, and professionally designed training content.

Meet your team's training needs with Bilginç IT Academy's onsite AI Enabled Software Engineering in Manchester solution, delivered at your office or preferred location. Align your team's development with your business goals through a training experience tailored to your organization.

  • Tailored Course Content: Adapt the training program to your organization's projects, team structure, and specific business requirements.
  • Time and Cost Efficiency: Reduce travel, accommodation, and operational costs while maximizing the value of your training investment.
  • Team-Focused Learning: Help your employees develop around the same knowledge base and strengthen collaboration across your organization.
  • Simplified Planning and Tracking: Manage the training process, participant development, and organizational requirements with greater control.


Contact us for more detail about our trainings and for all other enquiries!

AI Enabled Software Engineering Training Course in Manchester Schedule

Join our public courses in our Manchester facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
05 July 2026 (1 Day)
London, Manchester, Birmingham, Cambridge, Oxford
£1,034
20 July 2026 (1 Day)
London, Manchester, Birmingham, Cambridge, Oxford
£1,034
31 August 2026 (1 Day)
London, Manchester, Birmingham, Cambridge, Oxford
£1,034
03 September 2026 (1 Day)
London, Manchester, Birmingham, Cambridge, Oxford
£1,034
10 September 2026 (1 Day)
London, Manchester, Birmingham, Cambridge, Oxford
£1,034
11 September 2026 (1 Day)
London, Manchester, Birmingham, Cambridge, Oxford
£1,034
23 September 2026 (1 Day)
London, Manchester, Birmingham, Cambridge, Oxford
£1,034
01 November 2026 (1 Day)
London, Manchester, Birmingham, Cambridge, Oxford
£1,034

The United Kingdom stands as a cornerstone of European technology, boasting a rich heritage of scientific discovery and a futuristic digital economy. London remains a global fintech leader, while cities like Manchester, Birmingham, and Bristol are rapidly evolving into specialized tech clusters. The academic prestige of Oxford and Cambridge continues to fuel innovation in biotechnology and software engineering, creating a highly skilled workforce. Our IT certification and training courses are designed to meet the rigorous demands of the UK’s corporate and financial sectors. By integrating the latest cloud and cybersecurity frameworks, we empower professionals across the British Isles to lead digital transformation initiatives within an increasingly interconnected global market.

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