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AI & Automation

Learn how to apply AI tools to automate workflows and boost productivity

Intermediate

6 Weeks

2026 Edition

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About this course

Learn how to apply cutting-edge AI models and no-code automation tools to streamline workflows and boost execution speed. Connect APIs, automate repetitive tasks, and build self-running business scenarios with Make.

What will you learn

  1. Automate business processes using no-code engines like Make and n8n

  2. Integrate LLM APIs (OpenAI, Anthropic) into automated software workflows

  3. Engineer advanced multi-step prompt chains for maximum accuracy

Your requirements

  1. Familiarity with basic web applications

  2. Problem-solving mindset

Course curriculum

Chapter 1:

Automation Fundamentals & Webhooks

Lessons:

5

Duration:

40 mins

Principles of Process Automation

Map operational bottlenecks and identify high-ROI automation candidates.

Webhooks & REST API Fundamentals

Understand JSON payloads, HTTP request methods, and API authentications.

Getting Started with Make.com & n8n

Build basic triggers, actions, and linear data pipelines between apps.

Routers, Filters & Data Parsers

Direct complex workflows conditionally using regex, logic branching, and arrays.

Error Handling & Auto-Recovery

Implement rollback paths, break directives, and automated error logging.

Chapter 2:

Integrating AI & Large Language Models

Lessons:

5

Duration:

50 mins

LLM API Integration (OpenAI/Anthropic)

Connect API keys and send programmatic prompts to generate structured data.

Advanced Prompt Engineering for Logic

Structure few-shot prompts, system prompts, and strict JSON output schemas.

Automated Content & Copy Pipelines

Build automated systems to summarize, rewrite, and format content at scale.

Document Processing with AI OCR

Extract key metrics, invoices, and structured records from PDFs and images.

Multi-Step LLM Prompt Chains

Chain multiple AI calls to refine, fact-check, and enrich complex responses.

Chapter 3:

Autonomous Agents & Production

Lessons:

5

Duration:

55 mins

Building AI Customer Support Bots

Deploy context-aware chatbots connected to internal knowledge bases.

Vector Databases & Semantic Search

Use Pinecone and embeddings to retrieve relevant documents dynamically.

CRM & Database Sync Workflows

Keep Airtable, HubSpot, and Notion databases perfectly synced in real time.

Cost Optimization & API Rate Limits

Monitor token usage, optimize prompt lengths, and cache frequent queries.

End-to-End Autonomous Agent

Launch a self-operating business system that takes inputs and performs actions.

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Xavier Chen

AI Systems Engineer & Automation Architect

Specializes in building autonomous business workflows, custom LLM agents, and no-code enterprise integrations.

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