Business Process Automation: AI, Agents and Workflows [EN]




business process automation | ai agents | workflow automation | process mapping | operational efficiency | hr automation

What You Will Learn:

  • Map a process in BPMN until the break point is visible to everyone in the room
  • Find waste and measure process maturity before touching any software
  • Decide which processes to automate and, more importantly, which not to
  • Write system selection criteria and negotiate with vendors from a position of evidence
  • Apply AI to analysis, screening, learning and performance without handing over judgement
  • Tell an AI agent from a chatbot, and know when each one is the right answer
  • Build your own agent for a single task, with goal, memory, actions and integrations
  • Integrate systems so the data stops being re-entered by hand
  • Learn alongside Mike’s 1.6 million students from 185 countries
  • Get the author’s experience from Preply, Wargaming, iDeals and Alfa-Bank

Learning Tracks: English

Add-On Information:

An Honest Professional’s Take on Mastering the Automation Chaos

Look, I’ve been in the tech trenches long enough to see “AI” become a buzzword that people throw at problems like confetti. Most courses you find online are either shallow tutorials on how to prompt a chatbot or overly academic lectures that never touch a live system. That’s why Business Process Automation: AI, Agents and Workflows caught my eye. It doesn’t start with the “how” of the software; it starts with the “why” of the business.

What Mike brings to the table here isn’t just a syllabus; it’s a veteran’s perspective from places like Wargaming and Preply. The core philosophy of this course is something I’ve preached for years: you cannot automate a broken process. If you automate a mess, you just get a faster mess. This course forces you to look at operational efficiency through a cynical lens, making you find the “break points” in a room full of stakeholders before you even think about industry-standard tools. It bridges the gap from beginner to advanced by focusing on the logic of agentic workflows rather than just clicking buttons in a UI.


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Prerequisites for Success

You don’t need to be a Senior Dev to get value here, but you shouldn’t be a total tech novice either.

  • A basic understanding of how data flows between apps (think: what is an API?) is helpful.
  • A “process-first” mindset—if you enjoy deconstructing how a task gets done, you’re in the right place.
  • No prior coding knowledge is required, as the focus is on no-code and low-code integration, though a familiarity with spreadsheet logic will give you a head start.
  • Willingness to use hands-on labs to build, break, and fix things in real-time.

The Toolkit: Skills & Industry-Standard Tools

This isn’t just a theory dump. You’re walking away with a stack of job-ready skills that actually look good on a resume.

  • BPMN 2.0 Mapping: Learning to visualize processes so clearly that the bottlenecks become undeniable.
  • AI Agent Architecture: Understanding the “Brain, Memory, Tools” framework that separates a basic chatbot from a functional AI agent.
  • Vendor Negotiation & Selection: This is a rare gem. Learning how to talk to SaaS vendors from a position of evidence rather than being sold a dream.
  • System Integration: Connecting disparate platforms so that “manual data entry” becomes a relic of the past.
  • Prompt Engineering for Logic: Using LLMs for process maturity analysis and performance screening without sacrificing human judgment.

Career Benefits & Job Roles

In the current market, “AI literacy” is the bare minimum. Companies are looking for people who can actually implement workflow automation to save money. This course is excellent certification prep for anyone looking to pivot into Operations (Ops) or Product Management.

  • Business Systems Analyst: You’ll move from just documenting requirements to actually designing the automated future state.
  • Operations Manager: Great for career growth as you learn to scale HR automation and back-office tasks without doubling your headcount.
  • AI Implementation Consultant: Use these real-world projects as a portfolio to show clients how you can reduce “waste” before introducing expensive tech.
  • Solutions Architect: Deepen your understanding of how AI agents fit into a larger enterprise ecosystem.

Pros: Why This Course Stands Out

  • The “Anti-Hype” Approach: I love that Mike spends time telling you which processes *not* to automate. That’s a senior-level insight you don’t get in “Intro to AI” bootcamps.
  • Defining Agents vs. Chatbots: The distinction is crucial. Understanding that an agent has a goal and “agency” to act within a workflow is the pivot point for operational efficiency in 2024.
  • Real-World Pedigree: The examples aren’t “build a to-do list.” They are informed by the author’s experience in high-growth companies like Alfa-Bank and iDeals, giving the content a layer of grit and reality.
  • The Focus on Evidence: Writing selection criteria based on your specific process maturity prevents you from overpaying for enterprise software you aren’t ready for.

Cons: The Honest Truth

The course is dense—very dense. If you are looking for a “quick win” or a 20-minute hack to make your emails faster, this isn’t it. It requires you to sit down and do the hard work of process mapping. At times, the transition from high-level strategy to the technicalities of integrating systems can feel a bit fast for a true beginner, so you might find yourself hitting the “rewind” button a few times to catch the nuances of the hands-on labs.