Agentic Process Automation (APA) with Langraph, AutoGen and CrewAI

Topic 1: Introduction to Large Language Model (LLM) AI Orchestration

• Overview of LLM AI orchestration
• Running local LLM
• Building an LLM app
• Debugging LLM app

Topic 2: Retrieval-Augmented Generation (RAG) 

• Overview of Retrieval-augmented generation (RAG)
• Text Embedding
• Vector database
• Similarity Search
• Building an RAG

Topic 3: Implementing a Multi-Agent AI Workflow

• Introduction to the ReAct agent framework
• Implementing a ReAct agent
• Equipping agent with tools and skills
• Overview of multi-agent AI frameworks - LangGraph, CrewAI, AutoGen etc
• Setting up and running your first multi agent workflow

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

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: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

• AI Orchestration Specialist
• Large Language Model Engineer
• AI Application Developer
• RAG Engineer
• Vector Database Specialist
• Data Engineer
• Multi-Agent System Developer
• ReAct Agent Implementer
• Machine Learning Engineer
• AI Workflow Designer
• AI Project Manager
• AI Systems Integrator
• Automation Consultant
• Data Scientist
• Knowledge Engineer
• AI Research Scientist
• Digital Transformation Leader
• AI Solutions Architect
• AI Operations Specialist
• Product Innovation Manager

Solomon Soh Zhe Hong: Solomon is ACTA certified and has trained and coached over 100 professionals in the area of data science, python programming and coding. Solomon is a Certified AI Engineer Associate by AI Singapore and holds certifications in Alibaba Cloud Architect and Alteryx respectively. Solomon interests include Reinforcement Learning, Natural Language Processing and Time-Series analysis.

Alfred Yap Swee Leong: Alfred Yap is an ACLP certified trainer with strong financial and shopper marketing domain background and extensive experience in information technology. In addition, he is both an IBM certified Cloud Computing Practitioner and an IBM Enterprise Design Thinking Practitioner.
Alfred Yap has spent decades teaching adult learners since the 90s. Kickstarting his teaching career as a trainer for Oracle University. Thereafter, he has had vast experience conducting ICT related training to various companies in the Consulting, Media, and Training industry.
Alfred Yap earned his undergraduate degree from USF, America and master degree from NTU, Singapore majoring in Knowledge Management. His current interests include Cyber Security, Cloud computing and Blockchain.