AI for Feature Flag & Canary Testing Strategy Training Course
Course Outline
Foundations of AI-Enhanced Release Control for Government
- Understanding feature flags and progressive delivery in the context of government IT systems
- Core concepts of canary testing and staged exposure for enhanced reliability and security
- The value that AI adds to release workflows, particularly in ensuring efficient and secure deployments
Machine Learning Techniques for Rollout Decisions for Government
- Baseline modeling of system and user behavior to identify normal operational patterns
- Anomaly detection approaches for early warning of potential issues in government applications
- Training data considerations and feedback loops to continuously improve AI models
Designing AI-Driven Feature Flag Strategies for Government
- Dynamic flag rules informed by AI signals to optimize user experiences
- Exposure thresholds and automated score gates to manage risk in government systems
- Adaptive increase, pause, or rollback logic to ensure system stability and security
AI-Assisted Canary Analysis for Government
- Evaluating canary vs. baseline performance to detect issues early
- Weighting metrics and creating AI-based risk scores to inform decision-making
- Triggering automated decision pathways to streamline operations
Integrating AI Models into Release Pipelines for Government
- Embedding AI checks in CI/CD stages to enhance automation and security
- Connecting feature flag systems to machine learning engines for real-time insights
- Managing pipelines for hybrid automated/manual workflows to balance efficiency and control
Monitoring and Observability for AI Decision-Making in Government
- Signals required for reliable AI inference to support informed decision-making
- Collecting performance, crash, and behavioral telemetry to monitor system health
- Closing the loop with continuous learning to improve model accuracy over time
Risk Management and Operational Governance for Government
- Ensuring responsible automation in release decisions to maintain security and compliance
- Defining human review conditions and override points to ensure accountability
- Auditing AI-driven rollout actions to track and document decision processes
Scaling AI-Based Rollout Strategies Across Products for Government
- Multi-team governance frameworks to coordinate efforts across different agencies and departments
- Reusable ML components and model standardization to promote efficiency and consistency
- Cross-product telemetry normalization to ensure data interoperability and analysis
Summary and Next Steps for Government
Requirements
- An understanding of CI/CD workflows for government projects.
- Experience with feature flag usage or deployment pipelines in public sector environments.
- Familiarity with basic statistical or performance monitoring concepts applicable to government systems.
Audience
- Product engineers for government initiatives.
- DevOps professionals working in the public sector.
- Release engineers and technical leads supporting government projects.
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
AI for Feature Flag & Canary Testing Strategy Training Course - Booking
AI for Feature Flag & Canary Testing Strategy Training Course - Enquiry
AI for Feature Flag & Canary Testing Strategy - Consultancy Enquiry
Consultancy Enquiry
Upcoming Courses
Related Courses
AI-Driven Deployment Orchestration & Auto-Rollback
14 HoursAI for DevOps: Integrating Intelligence into CI/CD Pipelines
14 HoursAI for DevOps is the application of artificial intelligence to enhance continuous integration, testing, deployment, and delivery processes with intelligent automation and optimization techniques.
This instructor-led, live training (online or onsite) is designed for intermediate-level DevOps professionals who wish to integrate AI and machine learning into their CI/CD pipelines to improve speed, accuracy, and quality.
By the end of this training, participants will be able to:
- Integrate AI tools into CI/CD workflows for intelligent automation.
- Apply AI-based testing, code analysis, and change impact detection.
- Optimize build and deployment strategies using predictive insights.
- Implement traceability and continuous improvement using AI-enhanced feedback loops.
Format of the Course for Government
- Interactive lecture and discussion.
- Numerous exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
AIOps - Accredited
35 HoursAIOps is a rapidly advancing field that addresses the complexities of modern IT environments, particularly those utilizing cloud architectures. The AIOps Foundation course provides a thorough introduction to the concepts, technologies, and practices associated with integrating artificial intelligence into IT operations.
This program delves into the background of AIOps, its fundamental principles, essential tools, and the organizational challenges that IT teams face when adopting these innovative approaches.
The training culminates in an exam. Successfully passing this exam awards participants the globally recognized AIOps Foundation certification, which remains valid for three years.
Who is it for?
This course is tailored for professionals and managers involved in:
IT operations
DevOps and Site Reliability Engineering (SRE)
Cloud architecture
Data analysis and data science
Software development
IT security
Product and project management
This comprehensive training is designed to enhance the capabilities of individuals working in these areas, providing them with the knowledge and skills necessary to effectively leverage AIOps technologies for government and other critical sectors.
AIOps in Action: Incident Prediction and Root Cause Automation
14 HoursAI Ops Advanced
21 HoursThe AI Ops Advanced course builds upon foundational AIOps principles to offer practical, hands-on experience with real-world tools, advanced machine learning techniques, automation workflows, and operational design patterns. It equips participants to construct, configure, fine-tune, and extend AIOps pipelines and integrations.
This instructor-led, live training (available online or on-site) is designed for intermediate to advanced IT professionals who aim to develop robust AIOps ecosystems, conduct advanced analytics, and automate operational workflows using real-world tools. The course aligns with the needs of participants in various sectors, including those for government.
By the end of this training, participants will be able to:
- Correlate and normalize diverse operational data sources.
- Design and refine anomaly detection and root cause analysis models.
- Integrate AIOps with IT Service Management (ITSM) and DevOps pipelines.
- Develop closed-loop automation and predictive incident workflows.
Format of the Course
- Advanced lectures and architecture discussions.
- Hands-on labs with industry-standard tools and platforms.
- Case studies and optimization exercises.
AI Ops Foundation
14 HoursArtificial Intelligence for IT Operations (AIOps) is the utilization of machine learning, analytics, and automation to streamline and enhance IT operations. It assists organizations in automating incident detection, correlating events, and improving operational decision-making.
This instructor-led, live training (conducted online or on-site) is designed for government IT professionals at the beginner level who wish to understand the fundamentals of applying AI and big data in IT operations to improve observability, metrics, and incident handling.
By the end of this training, participants will be able to:
- Describe the evolution and importance of AIOps for government.
- Explain core technologies such as big data and machine learning within AIOps contexts.
- Identify key operational metrics and use cases for AIOps in public sector environments.
- Understand the organizational impact, implementation strategies, and challenges of deploying AIOps solutions.
Format of the Course
- Interactive lecture and discussion.
- Case study review and scenario-based discussions relevant to government operations.
- Hands-on exercises with AIOps concepts and tools tailored for government IT professionals.
AIOps Fundamentals: Monitoring, Correlation, and Intelligent Alerting
14 HoursAIOps (Artificial Intelligence for IT Operations) is a practice that leverages machine learning and analytics to automate and enhance IT operations, particularly in monitoring, incident detection, and response.
This instructor-led, live training (online or onsite) is designed for intermediate-level IT operations professionals who aim to implement AIOps techniques to correlate metrics and logs, reduce alert noise, and improve observability through intelligent automation for government agencies.
By the end of this training, participants will be able to:
- Understand the principles and architecture of AIOps platforms.
- Correlate data across logs, metrics, and traces to identify root causes.
- Reduce alert fatigue through intelligent filtering and noise suppression.
- Use open-source or commercial tools to monitor and respond to incidents automatically.
Format of the Course
- Interactive lecture and discussion.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Building an AIOps Pipeline with Open Source Tools
14 HoursAI-Powered QA Automation in CI/CD
14 HoursGitHub Copilot for DevOps Automation and Productivity
14 HoursGitHub Copilot is an AI-powered coding assistant designed to help automate various development tasks, including DevOps operations such as writing YAML configurations, GitHub Actions, and deployment scripts.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to utilize GitHub Copilot to streamline DevOps tasks, enhance automation, and increase productivity for government and other public sector workflows.
By the end of this training, participants will be able to:
- Use GitHub Copilot to assist with shell scripting, configuration, and CI/CD pipelines.
- Leverage AI code completion in YAML files and GitHub Actions.
- Accelerate testing, deployment, and automation workflows.
- Apply Copilot responsibly with an understanding of AI limitations and best practices for government use.
Format of the Course
- Interactive lecture and discussion.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
DevSecOps with AI: Automating Security in the Pipeline
14 HoursDevSecOps with AI is the practice of integrating artificial intelligence into DevOps pipelines to proactively identify vulnerabilities, enforce security policies, and automate response actions throughout the software delivery lifecycle.
This instructor-led, live training (online or onsite) is designed for intermediate-level DevOps and security professionals who seek to apply AI-based tools and practices to enhance security automation across development and deployment pipelines.
By the end of this training, participants will be able to:
- Integrate AI-driven security tools into CI/CD pipelines.
- Utilize static and dynamic analysis powered by AI to detect issues at earlier stages.
- Automate the detection of secrets, code vulnerability scanning, and dependency risk analysis.
- Implement proactive threat modeling and policy enforcement using intelligent techniques.
Format of the Course
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Course Customization Options for Government
- To request a customized training for this course, please contact us to arrange.
Enterprise AIOps with Splunk, Moogsoft, and Dynatrace
14 HoursImplementing AIOps with Prometheus, Grafana, and ML
14 HoursLLMs and Agents in DevOps Workflows
14 HoursLarge Language Models (LLMs) and autonomous agent frameworks such as AutoGen and CrewAI are transforming how DevOps teams automate tasks like change tracking, test generation, and alert triage by simulating human-like collaboration and decision-making processes.
This instructor-led, live training (available online or onsite) is designed for advanced-level engineers who aim to design and implement DevOps automation workflows powered by LLMs and multi-agent systems for government applications.
By the end of this training, participants will be able to:
- Integrate LLM-based agents into CI/CD workflows to enhance smart automation capabilities.
- Automate test generation, commit analysis, and change summaries using these advanced agents.
- Coordinate multiple agents for effective alert triaging, response generation, and DevOps recommendations.
- Build secure and maintainable agent-powered workflows utilizing open-source frameworks.
Format of the Course
- Interactive lectures and discussions.
- Extensive exercises and practical activities.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for government, please contact us to arrange.
