AI-Enabled Application Architecture Modernization Training by Tonex
Discover how AI transforms legacy system modernization into a streamlined and efficient process. This course focuses on leveraging AI to assess, refactor, and modernize application architectures. Learn techniques for identifying microservices, automating migration strategies, and embracing agile, scalable solutions. Designed for professionals aiming to lead innovation in cloud and application development.
Learning Objectives:
- Understand AI’s role in assessing legacy systems
- Learn AI techniques for microservices identification
- Explore strategies for migrating monolithic to modern architectures
- Master tools for automating application refactoring
- Gain expertise in AI-enabled scalability and agility solutions
- Develop actionable modernization roadmaps for your organization
Audience:
- Application Architects
- Cloud Architects
- Development Teams
Course Modules and Topics:
Module 1: Introduction to AI-Driven Modernization
- Overview of application architecture modernization
- Importance of AI in modernizing legacy systems
- Key challenges in legacy system transformation
- AI tools and techniques for modernization
- Role of data in AI-driven assessments
- Understanding modernization outcomes
Module 2: AI Assessment of Legacy Systems
- Mapping legacy system workflows
- Identifying modernization priorities with AI
- Automated code analysis tools
- Risk and impact assessment using AI
- Strategies for stakeholder alignment
- AI-driven decision-making frameworks
Module 3: Automating Microservices Identification
- Principles of microservices architecture
- AI techniques for service decomposition
- Tools for automated service extraction
- Building microservices dependency maps
- Prioritizing microservices for migration
- Best practices for microservices design
Module 4: Migration Strategies with AI
- Approaches to application migration
- AI-enabled data migration strategies
- Leveraging AI for process automation
- Continuous integration and deployment
- Ensuring minimal downtime during migration
- Post-migration performance optimization
Module 5: AI Tools for Refactoring Monolithic Architectures
- Refactoring vs. rewriting: Key considerations
- AI-powered code refactoring tools
- Splitting monolithic systems into modules
- Enhancing scalability with AI-driven refactoring
- Testing frameworks for refactored systems
- Real-world examples of successful refactoring
Module 6: Building Scalable and Agile Solutions
- Principles of scalable application design
- Role of AI in enabling agility
- Cloud-native modernization strategies
- Continuous delivery and AI-driven automation
- Security considerations for modern architectures
- Case studies in AI-enabled scalability
Empower your team to lead modernization efforts with AI expertise. Enroll now in Tonex’s AI-Enabled Application Architecture Modernization course to stay ahead in the digital transformation era.