This intensive 1-day programme equips developers with the skills to integrate Claude AI into real applications, design AI-powered APIs, and build simple agent-like workflows.

Learning Objectives

By the end of this course, participants will be able to:

• Call Claude AI via API

• Design structured prompts for programmatic use

• Build AI-powered backend endpoints

• Implement simple automation workflows

• Apply basic security and validation practices

• Understand agentic workflow concepts

Target Audience

• Software developers (Java, Python, JavaScript)

• Backend / Fullstack engineers

• DevOps / Automation engineers

Prerequisites

• Basic programming knowledge

• Understanding of REST APIs

• Familiarity with JSON

Course Agenda (9:00 AM – 5:00 PM)

09:00 – 10:30 | Module 1: Claude AI for Developers

Topics

• Generative AI in software systems

• Claude AI capabilities and API overview

• Request/response structure

• Tokens, limits, and cost awareness

Live Demo

• Making a simple API call (Python / Node.js)

• Parsing AI response

10:30 – 10:45 | Morning Break

10:45 – 12:30 | Module 2: Prompt Engineering for Code

Topics

• Structured prompts for predictable output

• JSON output formatting

• Prompt patterns for APIs

Hands-On Lab

• Build:

  • JSON generator endpoint

  • Structured response validation

12:30 – 13:30 | Lunch Break

13:30 – 15:00 | Module 3: Build AI-Powered Backend Services

Topics

• Integrating Claude into backend (Node.js / Python)

• Creating REST endpoints

• Handling errors and retries

Hands-On Lab

Build:

• AI-powered API:

  • /summarise

  • /generate-report

15:00 – 15:15 | Afternoon Break

15:15 – 16:00 | Module 4: Automation & Agentic Workflows

Topics

• Designing AI pipelines:

  • Input → AI → Output

• Multi-step workflows

• Introduction to agentic concepts (tool usage, chaining)

Mini Lab

• Build:

  • Multi-step workflow:

    • Input → summarise → generate output

16:00 – 17:00 | Capstone Project (1 Hour Build + Demo)

Capstone Project (Programmer Version)

Objective

Build a working AI-powered backend feature using Claude AI.

Project Options (Choose One)

1. AI Report Generator API

2. AI FAQ / Support Endpoint

3. AI Document Summariser

4. Simple Workflow Automation API

Technical Requirements

Participants must:

✔ Backend API

• At least 1–2 endpoints

✔ Claude Integration

• Call API and process output

✔ Structured Output

• JSON or formatted response

✔ Workflow Logic

• At least 2-step processing

Example Flow

User Request → Backend → Claude → Process → Response

Deliverables

• Working API endpoints

• Sample request/response

• Brief explanation of logic

Evaluation Criteria

• Functionality

• Prompt quality

• Code structure

• Workflow design

Tools & Stack

• Claude API

• Node.js / Python (FastAPI recommended)

• Postman

• VS Code

Q

Participants leave with:

• A working AI-integrated backend feature

• Reusable prompt + API patterns

• Understanding of agentic workflows

• Practical implementation skills

or contact janice@marcnzed.com or call Janice at +6019 470 3904

Certificate

Upon successful completion of the course, participants will be awarded a verified certificate by 

Marc & Zed or/and Universiti Kuala Lumpur (UniKL)