
This lesson introduces Customer Success as a managed system instead of a set of isolated tasks, showing how AI helps identify connections, bottlenecks, and solutions before problems escalate.
We explore Customer Success as a mechanism of accountability for customer outcomes and business results, explaining why CS is part of company management, not just service delivery.
This lesson demonstrates the direct link between Customer Success processes, customer retention, upsells, and lifetime value, focusing on business metrics and decision-making logic.
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A clear breakdown of the CSM’s responsibilities, covering process ownership, decision-making influence, and strategic impact—without idealizing the role.
A walkthrough of a typical workday of a system-oriented CSM, focusing on priorities, data, customer signals, and management thinking.
Here, we’ll focus on the importance of systematic learning. You’ll understand how to work step by step to eventually build your own AI Art Generation System. Instead of random tool exploration, you’ll gain a structured skillset that will serve you in the future.
In this lesson, you will explore how to study on the platform.
This lesson shows how to develop strategic thinking: working with first principles, forming hypotheses, seeing the structure of problems, and choosing the right decisions.
Discover Microsoft Copilot, an AI assistant integrated across Microsoft 365 apps that helps you write, analyze, and create content more efficiently.
Discover Microsoft Copilot, an AI assistant integrated across Microsoft 365 apps that helps you write, analyze, and create content more efficiently.
In this lesson, you’ll learn how to use Microsoft Copilot across Office apps to automate everyday tasks, generate content, and boost productivity in your workflow.
Introduction to AI agents in Microsoft ecosystem and how they assist with task automation and productivity.
Entry point to help you prepare for assignments and practice with a real case.
A discussion on how leadership roles are evolving in the age of AI, shifting from task control to decision-making, systems thinking, and context management.
This lesson shows how to develop strategic thinking: working with first principles, forming hypotheses, seeing the structure of problems, and choosing the right decisions.
Learn how to use Udemy's AI Assistant for streamlining your learning.
An explanation of what Customer Success infrastructure is and why scalable CS is impossible without it.
Access all the materials and templates that support your learning journey.
Learn how to audit your current Customer Success setup with Copilot, including processes, roles, and loss points.
Guidance on shaping a clear Customer Success vision and defining responsibility across teams and roles.
A structured approach to uncovering systemic issues that block growth, using analysis rather than intuition.
In this lesson, you'll get your own AI companion: the book "AI for Business".
These assignments guide you through building Customer Success as a manageable business system, not a set of activities.
An explanation of the difference between journey-based thinking and lifecycle-based management.
An analysis of real customer loss points and why businesses often fail to notice them.
A comparison of lifecycle stages across SaaS, service-based, educational, and product businesses.
A focus on Customer Success metrics that support real management decisions rather than reporting for its own sake.
A practical reference of core Customer Success metrics, explained through their managerial purpose, signals, and decision impact.
How to design Customer Success processes and playbooks as decision frameworks that reduce chaos and enable predictable scaling.
Bringing lifecycle, metrics, processes, and playbooks together into a single operating model that supports day-to-day management and growth.
These assignments guide you through building Customer Success as a manageable business system, not a set of activities.
Learn how to generate ideas and plan campaigns quickly using Copilot.
Discover how to use Copilot to model project outcomes under different scenarios (e.g., delays, resource changes) and generate actionable insights.
See how AI can streamline collaboration and improve communication across different teams.
These assignments guide you through building Customer Success as a manageable business system, not a set of activities.
Explore how Copilot can draft clear, professional progress updates for your team or stakeholders in seconds, saving you time on repetitive reporting.
Discover how Copilot helps you track overdue tasks and send effective follow-ups to keep projects on track.
Generate executive summaries and presentations effortlessly using Copilot.
Learn how Copilot helps you draft clear, professional project emails in Outlook with ease.
Learn how to generate charts and visuals in Excel using natural language prompts with Copilot.
Discover how Copilot enhances data storytelling through automatically generated, insightful, and interactive visuals.
Master how to customize, filter, and export your visuals for polished presentations and reports with Copilot’s help.
These assignments guide you through building Customer Success as a manageable business system, not a set of activities.
Explore the benefits of AI automation and understand how it can streamline business processes and boost efficiency.
Get an introductory tour of Microsoft Foundry, familiarizing yourself with its interface, key features, and navigation.
Task-based agents, conversational agents, data-driven agents, and workflow agents.
Foundry’s role in Microsoft’s AI ecosystem and how it differs from other AI platforms.
No-code approach vs custom development: benefits and limitations.
Models, agents, tools, data sources, workflows, and governance.
Conceptual explanation of visual builders, configuration panels, and prompts.
Step-by-step: create an agent that answers a set of FAQ questions. Configure the model and prompt using the UI, then save the agent.
In this lesson, we'll cover testing and iterating your agent.
In this lesson, we'll look through the templates that Microsoft Foundry provides.
Understand the difference between a single agent and a workflow of agents. Learn when to use multi-agent orchestration for complex tasks (e.g. separate agents for research, strategy, and execution).
Step-by-step: create a sequential workflow where Agent A’s output feeds into Agent B, then Agent C. For example, Agent 1 gathers data, Agent 2 summarizes it, Agent 3 generates a final report.
Learn how to add approval steps: the workflow pauses to ask the user a question or confirmation before proceeding (useful for quality checks or manual overrides).
Overview of advanced flows: you can route to different agents based on conditions or let agents collaborate in a group chat format. (This is useful for fallback or expert routing scenarios.)
Explore example applications (non-industry-specific): e.g. a support chatbot, an internal knowledge bot, or a scheduling assistant. See how Foundry’s features fit these scenarios.
Learn the foundational language and key concepts that power generative AI technologies like ChatGPT.
Master advanced strategies to craft effective prompts that drive accurate, context-aware AI responses.
Deepen your prompt engineering skills with techniques for refining outputs and guiding complex AI behavior.
Discover and apply tools that let you test, compare, and optimize AI prompts for consistent results.
Learn specialized prompt techniques tailored for different industries, tasks, or creative use cases.
Side-by-side demos showing vague vs. well-crafted prompts and how the outputs differ.
In this lesson, we will show how to spot why an AI misunderstood you and how to reframe your request.
Show how prompts can help validate sources and reduce hallucinations.
We will teach how to stack elements for precision.
You will compile your best best prompts + outputs to showcase in resumes or LinkedIn.
A structured synthesis of insights from the course, translating Customer Success analysis into clear managerial priorities and next steps for implementation.
In this video, you will find out how to get a certificate after completing the course.
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This course contains the use of artificial intelligence.
Many companies have Customer Success in place.
Fewer can clearly explain how it works as a system or how decisions are actually made.
This course looks at Customer Success as a manageable business model, not as a collection of activities, reports, or best practices.
The focus is on structure, logic, and decision-making across the customer lifecycle.
What this course covers
Customer Lifecycle as a management model, not a customer journey
How and where customer value is lost before churn becomes visible
How to assess Customer Success as a system
Metrics that support management decisions
Processes and playbooks as decision frameworks
How Customer Success becomes operational in day-to-day work
The course is built as one continuous practical case rather than isolated lessons.
Who this course is for
This course is designed for:
Customer Success managers and leaders
Founders and operators responsible for retention and growth
Product and operations roles working closely with Customer Success
It assumes prior experience working with customers and business processes.
How the course is structured
You will work with a single business case throughout the course.
Each module builds on the previous one, moving from understanding the current state to defining lifecycle logic, metrics, and decision frameworks.
The goal is not to provide templates, but to develop structured thinking.
Course outcome
By the end of the course, you will have a clearer understanding of how Customer Success functions as a system, where it loses control, and what prevents it from scaling.
Enroll when you want a structured, practical way to think about Customer Success as a business system.
This course contains a promotion