CourskillsIn person · Lahore
AI Automation & Workflow Engineering
Learn to build intelligent business workflows using no-code and low-code automation tools such as Make.com and n8n. Connect AI models, APIs, databases, CRMs, and business applications to automate repetitive tasks, streamline operations, process data, and build practical AI-powered solutions without extensive programming.
AI Automation & Workflow Engineering
Week 1 · How Automation Workflows Work
What is a trigger in an automation workflow?
Your teacher's hint: Think about what causes an automated process to begin, such as receiving a form submission or reaching a scheduled time.
A trigger starts or initiates a workflow. Examples include a new form submission, a new CRM record, an incoming webhook, or a scheduled execution.
Why are APIs useful when building workflows with Make.com or n8n?
Your teacher's hint: Consider how an automation platform communicates with an external application that provides access to its data or functions.
APIs provide defined ways for applications to exchange information and request actions. Automation tools can use native integrations or HTTP requests to connect services, subject to their available permissions and API capabilities.
An AI workflow generates a customer refund recommendation. What is the safest approach before issuing a refund?
Your teacher's hint: Financial actions can have real consequences. Consider how validation and human oversight can reduce risk.
AI outputs can be inaccurate. Sensitive actions such as refunds should use validation, clear business rules, appropriate access controls, and human approval when required before execution.
You got 0 of 3 right.
All three right. In the room, your teacher would set you something harder next.
In the room, your teacher would go through what you missed with you before the next session. That's how marked work goes.
Pick an answeror press ABC
What you will cover
12 blocks, in this order
Each block is taught in the room, with work marked by hand and returned to you.
- Block 01
Introduction to AI automation
Understand workflow automation, no-code and low-code platforms, and the role of AI in modern business operations. Identify repetitive tasks suitable for automation and learn how triggers, actions, conditions, and connected applications work together.
- Block 02
Workflow design and process mapping
Learn to map existing business processes, identify bottlenecks, define automation requirements, and design efficient workflows. Practice breaking complex processes into triggers, steps, decision points, and expected outcomes before implementing them in an automation platform.
- Block 03
Getting started with Make.com and n8n
Explore Make.com and n8n interfaces, workflow builders, nodes or modules, triggers, actions, execution history, and workflow testing. Build simple automations that connect two or more applications and understand the differences between hosted and self-hosted automation options.
- Block 04
Connecting applications and business tools
Integrate common business applications such as Google Sheets, Gmail, Google Drive, Slack, CRMs, and form tools. Learn to capture events, transfer information between platforms, map fields, and automate routine administrative tasks.
- Block 05
APIs, webhooks and data handling
Learn the fundamentals of REST APIs, HTTP methods, JSON, request headers, authentication, and API responses. Configure HTTP requests and webhooks to connect services without native integrations, transform data, and exchange information between independent platforms.
- Block 06
AI model integration and prompt engineering
Integrate AI models into automation workflows for text generation, summarization, classification, extraction, and decision support. Learn to structure prompts, pass dynamic data, process AI responses, and return predictable outputs that downstream workflow steps can use.
- Block 07
AI-powered content and marketing workflows
Build workflows that assist with content research, social media post generation, content repurposing, approval processes, and publishing preparation. Connect AI tools with spreadsheets, content management systems, and supported social platforms while retaining human review where needed.
- Block 08
Business process and CRM automation
Automate lead capture, lead qualification, CRM updates, follow-up notifications, customer onboarding, and task creation. Use conditional logic, data validation, routing, and scheduled actions to move information between marketing, sales, and customer support systems.
- Block 09
AI agents and multi-step decision workflows
Understand the difference between fixed workflows and AI agent-based systems. Explore tool calling, context, structured outputs, retrieval from approved data sources, and controlled multi-step AI tasks, with appropriate limits and human approval for important actions.
- Block 10
Databases, documents and knowledge workflows
Connect automation workflows to databases, spreadsheets, document storage, and knowledge sources. Build practical systems for extracting information from documents, organizing records, summarizing business information, and routing results to the appropriate applications.
- Block 11
Error handling, security and deployment
Learn to test workflows, handle failed requests, configure retries, manage execution limits, and monitor automation runs. Cover API credential security, least-privilege access, sensitive data protection, duplicate-event prevention, logging, and deployment considerations for hosted and self-hosted platforms.
- Block 12
Final project: build an end-to-end AI workflow
Design and implement a complete AI-powered automation that connects multiple applications and performs a practical business task. Document the workflow, test success and failure scenarios, demonstrate its results, and present its security, maintenance, and operating-cost considerations.
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You leave with
- A marked final project, reviewed in the room
- An attendance record for every session
- Direct access to your instructor, not a forum