Leading with AI - Modern Workflows for Technology Professionals
Lead scalable AI operations with stronger MLOps decisions, governance, and team alignment
Created by Avnish Singh, Pavan Kumar
Gain a leadership perspective on modern AI workflows and MLOps practices. Explore how to guide teams, automate model lifecycles, and connect technical decisions with business goals. Build the skills to oversee scalable, reliable, and transparent AI operations within your organization.
Packt | Jul 2026 | 65 min
What You Will Learn
You will follow a structured path through the machine learning lifecycle, from data versioning to deployment and monitoring. Real-world examples and frameworks help you connect technical workflow decisions with leadership responsibilities. Each section builds your ability to scale AI operations and align them with organizational strategy.
Key Features
- Learn to design and manage scalable machine learning workflows for real-world impact
- Develop strategies for monitoring, explainability, and responsible AI governance
- Align teams and processes to ensure effective collaboration and business integration
Target Audience
Ideal for technology leaders, managers, and professionals guiding AI projects or teams. If you have experience with AI, machine learning, or software workflows and want to make better decisions about MLOps, governance, and team alignment, you will benefit. No advanced coding is required-just a desire to lead effective AI operations.
