Course Details
Topic 1 Prompt Engineering
- Understanding prompts
- Authoring your first prompt
- Templatizing prompts
- Calling nested functions in prompts
- Configuring prompts
- Saving your prompts as files
- Prompt template syntax
Topic 2 Creating AI Agent
- Creating your first agent
- Initialize the kernel
- Understanding the kernel
- Give your agent skills with plugins
- Adding AI services to the kernel
- Understanding plugins
- Native functions
- OpenAI plugins
- Out-of-the-box plugins
- Improve automation with planners
- Understanding planners
- Evaluate the prompt flow
Topic 3 Giving Your AI memories
- Understanding planners
- Overview
- Understanding embeddings
- Store context in vector databases
Topic 4 Building a Chat Copilot
- About Chat Copilot
- Running Chat Copilot locally
- Customizing Chat Copilot
- Test plugins with Chat Copilot
- Deploying Chat Copilot
- Publish changes to Azure
Course Info
Promotion Code
Promo or discount cannot be applied to WSQ courses
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.
Minimum Software/Hardware Requirement
Softtware: Windows / Mac
Hardware: Laptop
About Progressive Wage Model (PWM)
The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity.
Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.
For more information on PWM, please visit MOM site.
Funding Eligility Criteria
Individual Sponsored Trainee | Employer Sponsored Trainee |
|
|
SkillsFuture Credit:
PSEA:
|
Absentee Payroll (AP) Funding:
SFEC:
|
Job Roles
- AI Developer
- Semantic Kernel Engineer
- AI Product Manager
- Data Scientist
- AI Application Developer
- Chatbot Developer
- AI Strategy Consultant
- Software Engineer
- Machine Learning Engineer
- AI Research Scientist
- Natural Language Processing Engineer
- AI Solutions Architect
- Technology Innovation Manager
- Prompt Engineering Specialist
- AI Content Strategist
- System Integration Specialist
- AI Deployment Engineer
- Cloud Solutions Architect
- AI Project Manager
- Digital Transformation Consultant
Trainers
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.
Customer Reviews (1)
- This course allows me to understanding the fundamentals and how to use them effective in my work. Review by Course Participant/Trainee
-
1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment