Developing a Long-Term Automation Strategy
This course helps participants plan and implement a comprehensive automation roadmap. Topics include assessing current workflows, scaling automation efforts, and continuously updating AI systems to keep up with emerging technologies and market demands.
Why It’s Worth It
Gain a strategic framework for automation that aligns with your business goals, enhancing efficiency and productivity.
Develop the skills to assess and optimize workflows and technology, ensuring you make informed automation decisions.
Learn to integrate AI technologies effectively, positioning your organization for future advancements and market demands.
Your Learning Roadmap
Foundations of Automation Strategy
In this module, participants will learn the basic concepts, frameworks, and historical evolution of automation. The content builds a foundation that connects automation initiatives with overall business strategy. Lessons reference popular ideas from books like The Phoenix Project and Lean Thinking to illustrate real-world applications. Understanding The Automation Landscape Historical Evolution and Frameworks Aligning Automation with Business Goals
Assessing Current Workflows and Technologies
This module focuses on dissecting current workflows and identifying areas ripe for automation improvements. Learners will gain tools for mapping processes and evaluating existing technical resources. The lessons incorporate frameworks referenced in Accelerate and Lean Thinking, providing a balanced view of assessment techniques. Mapping Existing Processes Identifying Automation Opportunities Evaluating Technology Infrastructures
Designing a Comprehensive Automation Roadmap
In this module, learners discover step-by-step planning methods for instituting a long-term automation strategy. They will study established frameworks and tools that integrate lean, agile, and DevOps principles. The lessons incorporate insights from Accelerate and Lean Thinking to build a robust roadmap while considering risk management and strategic alignment. Strategic Roadmap Planning Roadmap Frameworks and Tools Risk Management in Automation Initiatives
Scaling Automation Efforts
This module delves into methods of scaling up automation projects after initial implementations. Participants explore real-world case studies and learn techniques for managing change. The lessons combine insights from Accelerate and practical industry examples to guide learners on navigating scaling complexities and cultural shifts within organizations. Scaling Best Practices Implementation Case Studies Managing Change and Culture
Implementing and Updating AI Systems
In this module, learners bridge the gap between traditional automation systems and emerging AI technologies. The content covers how to implement continuous integration and delivery techniques in AI workflows. Case examples and industry frameworks ensure a solid understanding of monitoring and updating AI systems, along with ensuring scalability and longevity. Introduction to AI in Automation CI/CD for AI Systems Monitoring, Feedback, and Updates
Measuring Outcomes and Continuous Improvement
The final module emphasizes the importance of metrics, data-driven insights, and iterative processes. Learners discover how to develop and apply KPIs effectively while analyzing outcomes to refine strategies. The content encourages a mindset of perpetual growth and improvement, supported by methods from Accelerate and other lean frameworks. Developing KPIs for Automation Data Analysis and Decision Making Feedback Loops and Iterative Improvements
What Users Are Saying
All You Need to Know
Join the Automation Revolution!
Interactive learning with AI guidance
Real-time Q&A for tailored support
Flexible, self-paced course format
Comprehensive materials and frameworks
Tools for practical automation application
Emphasis on continuous improvement strategies