Generative Ai For Delivery Managers

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Generative Ai For Delivery Managers
Published 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 591.84 MB | Duration: 2h 0m
Master Generative AI in Delivery Management: Optimize Workflows, Execute, and Deliver AI-Driven Projects Successfully​

What you'll learn
Learn the basics of Generative AI, its applications in delivery workflows, and its potential to enhance operational efficiency.
Discover how to use AI tools for project tracking, milestone monitoring, and optimizing team collaboration during project execution.
Gain hands-on experience with AI-powered tools to streamline reporting, automate repetitive tasks, and improve decision-making processes.
Learn to maintain ethical standards, validate AI outputs, and align delivery processes with organizational goals and compliance requirements.
Requirements
You don't need any prior experience with AI or technical skills to take this course-we'll start with the basics and guide you step-by-step. A general understanding of delivery management concepts, like tracking milestones and coordinating teams, will be helpful but isn't mandatory. All you need is a computer with internet access and a willingness to learn how AI can simplify workflows, enhance delivery processes, and give your career a boost. If you're ready to explore innovative tools and stay ahead in your field, this course is for you!
Description
Take your delivery management skills to the next level by mastering the power of Generative AI in this hands-on course. Specifically designed for delivery managers, this course will equip you with the tools and knowledge to optimize project execution, streamline workflows, and boost efficiency using GenAI.You'll begin by learning the basics of Generative AI and how it differs from traditional AI, followed by an exploration of its real-world impact on industries and delivery management. Discover how to leverage GenAI for managing project milestones, collaborating with cross-functional teams, and tracking KPIs for better performance.The course dives deep into AI-driven tools for monitoring progress and providing real-time updates, empowering you to keep your projects on track. You'll also explore key aspects of data management and compliance, ensuring smooth delivery execution and seamless collaboration with data teams.Learn about the importance of model validation, testing cycles, and evaluating GenAI's performance to maintain high-quality standards. We'll also address ethical considerations to ensure AI-generated outputs meet your delivery goals responsibly.Through real-world case studies and practical exercises, you'll analyze successful GenAI deliveries and apply new skills to your own projects. Finally, explore how to scale your delivery processes and stay ahead of future AI trends in delivery management. By the end of the course, you'll be ready to execute and deliver AI-driven projects with confidence and efficiency.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Introduction to Generative AI
Lecture 2 What is Generative AI?
Lecture 3 Generative AI vs. Traditional AI
Lecture 4 Generative AI's Impact on Industries
Lecture 5 Relevance to Project Management
Lecture 6 GenAI Use Cases for Project Managers
Section 3: Managing GenAI Project Delivery
Lecture 7 Delivery Milestones in GenAI Projects
Lecture 8 Cross-Functional Team Collaboration
Lecture 9 KPIs and Performance Tracking for GenAI Projects
Section 4: GenAI Tools for Project and Delivery Management
Lecture 10 AI for Real-Time Project Monitoring and Reporting
Lecture 11 Leveraging AI for Collaborative Project Management
Lecture 12 Hands on : Monday.com with AI
Lecture 13 Hands on : Asana with AI
Section 5: Data Management and Governance for GenAI Projects
Lecture 14 Data Requirements for GenAI Projects
Section 6: GenAI Model Validation and Testing for Delivery Managers
Lecture 15 Testing and Iterating GenAI Models
Lecture 16 Managing Model Evaluation and Metrics
Section 7: Ensuring Quality and Ethical Boundaries in GenAI Projects
Lecture 17 Ethical Issues in GenAI Projects
Lecture 18 Ensuring Fairness & Transparency in GenAI Products
Lecture 19 Compliance and Legal Frameworks
Section 8: Case Studies and Practical Exercises in GenAI Project Management
Lecture 20 Analyzing Successful GenAI Project Deliveries
Lecture 21 Interactive Exercises for Delivery Managers
Section 9: Scaling and Future Trends in GenAI Projects
Lecture 22 Scaling GenAI Projects
Lecture 23 Emerging Trends in GenAI
Lecture 24 Key Takeaways
This course is designed for delivery managers, operations professionals, and anyone responsible for executing and delivering projects who wants to take their career to the next level. If you're looking to enhance your delivery processes, optimize workflows, and stay ahead in today's AI-driven workplace, this course is for you. It's perfect for professionals eager to explore how Generative AI can streamline operations, improve team coordination, and drive successful project outcomes. Whether you're new to AI or want to expand your skills, this course will equip you with the tools to excel and stand out in your field!
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