Learn to design, build, and deploy software with AI tools
Key Points
Unlock the Future of Software Development
Discover how AI tools can accelerate your development process, improve code quality, and streamline project management. With hands-on learning, expert guidance, and practical projects, you’ll gain the skills to design, build, and maintain modern software solutions using AI.
Hands-On Learning
Practical exercises for real-world skills
Expert Guidance
Learn from industry leaders in architecture and AI
Flexible Structure
Self-paced modules with live Q&A sessions
Capstone Project
Apply your skills by building a complete AI-powered solution.
Signup for our course
Curriculum
Module 1
Introduction to AI in Software Development
Tools
- Git-Hub Copilot
- OpenAI API
- Azure AI Foundy
Hands-on
- Build a simple app with Git-Hub Copilot suggestions
- Implement auto-generated tests using AI tools
Module 2
AI-Driven Architecture & Design
Tools
- vFunction - Automated architecture observability and modernization
- Whimsical – Visual planning for architectural designs
- Lucidchart – System mapping and flowchart creation
Hands-on
- Refactor a sample legacy codebase
- Design an AI-driven system architecture for scalability
Module 3
AI for Coding & Development
Tools
- CodiumAI – AI-based review automation
- DeepCode – Code quality and security insights
- TabNine – Smart code completions for improved productivity
Hands-on
- Generate code snippets using CodiumAI
- Build a REST API using AI-generated code improvements
Module 4
AI for Testing & Debugging
Tools
- CodiumAI – AI-based review automation
- DeepCode – Code quality and security insights
- TabNine – Smart code completions for improved productivity
Hands-on
- Generate code snippets using Cursor
- Build a REST API using AI-generated code improvements
- Feedback-loops - how not to get entagled
Module 5
AI for Testing & Debugging
Tools
- Datadog – Intelligent monitoring and alerts
- New Relic – AI-enhanced application performance insights
- Jenkins AI Plugins – Automate key CI/CD stages with AI assistance
Hands-on
- Implement predictive alerts with Datadog
- Design an AI-driven CI/CD pipeline for automated deployment
Module 6
Ethical AI & Best Practices
Tools
- IBM Watson OpenScale – Ensures AI fairness and traceability
- Fairlearn – Mitigates algorithmic bias
- Azure AI Responsible AI Toolkit – Ensures responsible AI deployment practices
Hands-on
- Audit an AI model for fairness and transparency
- Build an explainable AI feature to clarify model outcomes
Module 7
Capstone Project
Tools
- GitHub - code repository and branch management
- Azure AI Services – Advanced AI model integration
- OpenAI API – Implement interactive content generation
- Cursor coding agents
Hands-on
- Design, build, and deploy a robust AI-integrated application
AI Assisted Software Development
Pricing for the on-line version
1500
one-time
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Online guided training
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2 horus personal consultation
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2 hours post-training consultation
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4 hours daily
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2 week course
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Workshop environment
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No boring lectures
Enroll
Trainings are done online, in a group environment. Trainings takes place in the course of two weeks, each working day, 2 hours module content theory followed by 2 hours hands-on practice.
First week is reserved for modules 1-6.
Second week is reserved for module 7.
For on-site trainings, or if you want to train group of trainees, please send an inquery by filling out the form below.
First week is reserved for modules 1-6.
Second week is reserved for module 7.
For on-site trainings, or if you want to train group of trainees, please send an inquery by filling out the form below.
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Signup now !
Signup to express interest in this training. Once we have full list of attendees we will send you proposal with the couple of training slots. Once you select and pay for the course we will reserve your spot and send you the details.