Manage AI Agents with Paperclip
About This Course
Manage AI Agents with Paperclip is a practical, hands-on course that equips participants with the knowledge and skills to build, deploy, and manage intelligent AI agents for business automation. Participants will learn the fundamentals of Agentic AI, understand how AI agents differ from traditional chatbots, and discover how autonomous agents can reason, use tools, access knowledge, and collaborate to complete complex tasks.
Using Paperclip's intuitive interface, learners will gain hands-on experience designing AI agents, configuring workflows, integrating Large Language Models (LLMs), connecting APIs, and automating business processes with minimal coding. They will create agent workflows that can retrieve information, generate content, execute actions, and interact with enterprise systems to improve productivity and operational efficiency.
The course also explores advanced AI agent capabilities, including Retrieval-Augmented Generation (RAG), knowledge base integration, memory management, tool calling, and multi-agent collaboration. Participants will learn how to build context-aware agents that access enterprise knowledge, coordinate specialized tasks, and incorporate human approval through human-in-the-loop workflows.
In addition, learners will discover best practices for deploying and managing AI agents, including prompt engineering, performance evaluation, monitoring, security, governance, and AI guardrails to ensure reliable and responsible operation.
By the end of the course, participants will be able to confidently design, build, deploy, and optimize AI agents with Paperclip to automate business workflows, enhance decision-making, and deliver scalable AI-powered solutions across customer service, operations, sales, marketing, and knowledge management.
What You'll Learn
- Identify Large Language Model (LLM) opportunities and perform feasibility scans.
- Utilise OpenAI API to integrate data and develop LLM applications.
- Peform tests in Langchain to verif LLM applications between disparate components and their functioning.
- Resolve technical issues in Langchain and implement modifications to LLM applications.
Course Outline:
Topic 1: Fundamentals of Agentic AI and Paperclip
Topic 2: Building AI Agents with Paperclip
Topic 3: Developing Intelligent Multi-Agent Systems
Topic 4: Deploying and Managing AI Agents
Entry Requirements
Knowledge and Skills
• Able to operate using computer functions
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience
Target age group: 21-65 years old.