Generative AI with Multi-Agent Langchain

Topic 1. Building Your First Generative Agents

• Understanding the role of memory
• Implementing your first generative agent
• Interacting and providing context to generative characters
• Setting up and running your first multi-agent simulation

Topic 2. Modelling Complex Generative Agent Scenarios

• Implementing the dialogue agent class
• Implementing the dialogue simulator class
• Authoritarian vs. decentralized speaker selection
• Bidding for decentralized speaker selection

Topic 3. Equipping Agents with Tools

• Overview of agent tools in LangChain
• Enabling an agent to access various tools
• Simulating a debate with tool integration

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 Research Scientist
• Machine Learning Engineer
• Data Scientist
• AI Developer
• Software Engineer (AI/ML)
• NLP (Natural Language Processing) Engineer
• Robotics Engineer
• AI Project Manager
• Innovation Manager
• AI Consultant
• AI Strategy Analyst
• AI Solutions Architect
• Deep Learning Engineer
• AI Product Manager
• Cognitive Systems Engineer
• AI Ethicist
• AI Application Developer
• Business Intelligence Analyst
• AI System Integrator
• Technical Architect (AI Solutions)

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.