AI Enabled Software Engineering Training in Australia

  • Learn via: Online Instructor-Led / Classroom Based / Onsite
  • Duration: 1 Day
  • Level: Intermediate
  • Price: From AUD 1,960 +GST
  • Upcoming Date:
  • UK & Australia Based Global Training Provider

Artificial intelligence is transforming modern software engineering by changing how applications are designed, developed, tested, and maintained. Rather than replacing developers, AI has become a valuable development companion that helps teams increase productivity, improve code quality, and accelerate delivery throughout the software development lifecycle.

This course provides a practical introduction to using generative AI within everyday software engineering activities. Participants will explore how AI-powered tools can assist with writing code, debugging applications, creating technical documentation, and solving complex development challenges.

A major focus of the course is prompt engineering. Learners will develop the skills required to create clear, structured prompts that produce accurate, relevant, and reliable AI-generated outputs. Through hands-on exercises, guided demonstrations, and realistic development scenarios, participants will learn how to evaluate AI responses, refine prompts, and improve results through iterative techniques.

By the end of the programme, learners will be able to confidently integrate AI assistants into their software development workflow, applying advanced prompting strategies to improve both engineering efficiency and software quality.

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

HAVELSAN
ASELSAN
PepsiCo Türkiye
JTI TÜTÜN ÜRÜNLERİ SANAYİ A.Ş.
ING Bank
DHL
MASTERCARD
Huawei
TotalEnergies
Mercedes-Benz Türk A.Ş.
Goodyear
FORD OTOMOTIV SANAYI A.S.
3M COMPANY
Schneider Electric
Central Bank of Azerbaijan
BP Petrolleri
Procter & Gamble (P&G)
Qatar Foundation
Bank Of China
GlaxoSmithKline (GSK)
MORGAN STANLEY & CO Inc
Novo Nordisk
DEUTSCHE BANK
Azerbaycan Cumhuriyeti Emek ve Ahalinin Sosyal Güvenliği Bakanlığı
ACCENTURE

Prerequisites

Participants should have:

  • A basic understanding of software engineering and programming principles
  • Experience using an integrated development environment (IDE), such as Visual Studio Code
  • Familiarity with debugging, testing, and software documentation practices
  • An interest in applying AI technologies to improve software development processes

Who Should Attend

This course is intended for:

  • Software developers and software engineers
  • Development teams looking to improve productivity with generative AI
  • Technical leads and software architects
  • DevOps engineers
  • Technical professionals who collaborate closely with software development teams

What You Will Learn

After completing this course, learners will be able to:

  • Identify the most valuable use cases for generative AI within software engineering.
  • Explain why human judgement and oversight remain essential when working with AI systems.
  • Configure and use AI coding assistants within modern development environments.
  • Create effective prompts for coding, debugging, documentation, and technical problem-solving.
  • Evaluate, verify, and improve AI-generated responses.
  • Integrate AI tools into everyday engineering workflows with confidence and consistency.

Training Outline

Module 1: Introduction to AI in Software Engineering

  • Overview of generative AI technologies
  • The evolving role of AI in software development
  • Strengths and limitations of AI coding assistants
  • Using AI as a collaborative development partner
  • Identifying practical AI use cases across the software lifecycle

Module 2: Setting Up AI-Assisted Development Environments

  • Overview of AI-powered development tools
  • Configuring AI assistants within development environments
  • Working with IDE extensions and plugins
  • Security, privacy, and responsible use of AI tools

Module 3: Prompt Engineering Fundamentals

  • Principles of effective prompt design
  • Structuring prompts for clarity and accuracy
  • Techniques for improving AI-generated responses
  • Common prompting mistakes and best practices

Module 4: AI-Assisted Coding

  • Generating code snippets and reusable functions
  • Refactoring existing applications
  • Improving code quality and performance
  • Exploring alternative implementation approaches
  • Working across multiple programming languages and frameworks

Module 5: Debugging and Problem Solving with AI

  • Identifying coding errors using AI
  • Analysing logs and diagnostic information
  • Step-by-step debugging techniques
  • Validating AI-generated solutions
  • Supporting software testing activities

Module 6: Documentation and Knowledge Creation

  • Producing technical documentation
  • Generating code comments and developer explanations
  • Creating user guides and knowledge base articles
  • Maintaining documentation quality, consistency, and accuracy

Module 7: Evaluating AI-Generated Outputs

  • Assessing the quality and relevance of AI responses
  • Detecting hallucinations and inaccurate information
  • Improving outputs through iterative prompt refinement
  • Establishing validation and review workflows

Module 8: Collaborative Development with AI

  • Integrating AI into software development teams
  • Supporting code reviews with AI
  • Combining automation with human expertise
  • Ethical considerations and responsible AI practices

Module 9: Applying AI in Real-World Software Projects

  • End-to-end AI-assisted development scenarios
  • Real-world engineering case studies
  • Measuring productivity and development efficiency
  • Continuously improving engineering workflows using AI


Key Benefits

  • Learn how generative AI enhances every stage of the software development lifecycle.
  • Gain practical experience using AI-powered coding assistants.
  • Develop advanced prompt engineering skills for software engineering tasks.
  • Improve coding, debugging, testing, and documentation efficiency.
  • Learn how to validate and refine AI-generated outputs with confidence.
  • Understand how to adopt AI responsibly within collaborative development teams.
  • Build modern software engineering workflows that combine AI capabilities with human expertise for higher productivity and software quality.

Why Choose Us

Experience AI Enabled Software Engineering in Australia 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 Australia and worldwide, with flexible planning options for individual and corporate training needs.

Experience AI Enabled Software Engineering in a focused classroom environment in Australia. 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 Australia 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 Australia Schedule

Join our public courses in our Australia 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.
20 July 2026 (1 Day)
Sydney, Melbourne, Brisbane, Perth
AUD 1,960 +VAT
31 August 2026 (1 Day)
Sydney, Melbourne, Brisbane, Perth
AUD 1,960 +VAT
03 September 2026 (1 Day)
Sydney, Melbourne, Brisbane, Perth
AUD 1,960 +VAT
10 September 2026 (1 Day)
Sydney, Melbourne, Brisbane, Perth
AUD 1,960 +VAT
11 September 2026 (1 Day)
Sydney, Melbourne, Brisbane, Perth
AUD 1,960 +VAT
23 September 2026 (1 Day)
Sydney, Melbourne, Brisbane, Perth
AUD 1,960 +VAT
01 November 2026 (1 Day)
Sydney, Melbourne, Brisbane, Perth
AUD 1,960 +VAT
04 November 2026 (1 Day)
Sydney, Melbourne, Brisbane, Perth
AUD 1,960 +VAT

Australia’s technology scene is a powerhouse of innovation in the Southern Hemisphere, with Sydney, Melbourne, and Brisbane acting as world-class centers for fintech, cloud computing, and software development. The nation’s digital economy is supported by top-tier academic institutions like the University of New South Wales (UNSW) and the University of Melbourne, which foster a culture of research excellence in Cybersecurity and Artificial Intelligence. Australia has become a global leader in mining-tech and sustainable energy software, requiring a workforce that is proficient in the latest DevOps and Data Science frameworks. Our training solutions in Australia are designed to meet these high industry standards, offering specialized certifications that empower professionals to lead digital transformation projects across the Oceania region. We provide the technical expertise necessary to excel in a highly competitive and digitally integrated market that consistently attracts global tech investment.

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