Course Details
Topic 1 Generative AI for Executives
- What is Generative AI?
- Why is Now the Best Time to Embrace Generative AI?
- Enterprise Use Cases for Generative AI
- Training Your Workforce to Use Generative AI
- Why is AWS the Best Place to Build with Generative AI?
Topic 2 Amazon Q Business Getting Started
- Introduction to Amazon Q Business
- Architecture and Use Cases
- Using Amazon Q Business
Topic 3 Amazon Bedrock Getting Started
- Introduction to Amazon Bedrock
- Architecture and Use Cases
- Using Amazon Bedrock
Topic 4 Fundamentals of Machine Learning and Artificial Intelligence
- Machine Learning Fundamentals
- Deep Learning Fundamentals
- Generative AI Fundamentals
Topic 5 Exploring Artificial Intelligence Use Cases and Applications
- Overview of Artificial Intelligence
- Examples of Real-World Use Cases
- Examples of AI Applications
- Machine Learning Techniques and Use Cases
- Capabilities of Generative AI
- Challenges of Generative AI
- Factors to Consider When Selecting a Generative AI Model
- Business Metrics for Generative AI
Topic 6 Responsible Artificial Intelligence Practices
- Overview of Responsible AI
- Responsible AI Challenges in Traditional AI and Generative AI
- Core Dimensions of Responsible AI
- Amazon Services and Tools for Responsible AI
- Responsible Considerations to Select a Model
- Responsible Preparation for Datasets
- Transparent and Explainable Models
- Model Trade-Offs
- Principles of Human-Centered Design for Explainable AI
LU4 Applications of AI and Responsible AI
Topic 7 Developing Machine Learning Solutions
- Machine Learning Development Lifecycle
- Developing ML Solutions with Amazon SageMaker
- Sources of ML Models
- Machine Learning Models Performance Evaluation
- Model Deployment
- Fundamental Concepts of MLOps
Topic 8 Developing Generative Artificial Intelligence Solutions
- Generative AI Application Lifecycle
- Defining a Use Case
- Selecting an FM
- Improving the Performance of an FM
- Evaluating an FM
Topic 9 Essentials of Prompt Engineering
- Understanding Prompts
- Modifying Prompts
- Prompt Engineering Techniques
- Prompt Misuses and Risks
Topic 10 Optimizing Foundation Models
- Business case
- Retrieval-Augmented Generation
- Agents
- Evaluate results
- Business case
- Fine-Tuning
- Model evaluation
Topic 11 Security, Compliance, and Governance for AI Solutions
- Strategic Guidance for Security, Governance, and Compliance
- Compliance Standards for AI Systems
- AWS Services for Governance and Compliance
- Data Governance Strategies
- Approaches for Implementing Governance Strategies
- Security and Privacy Considerations for AI Systems
- AWS Services and Features for Securing AI Systems
- Understanding Data and Model Lineage
- Best Practices for Secure Data Engineering
Practice Exam
Course Info
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
Job Roles
- AI Engineer
- Machine Learning Engineer
- Data Scientist
- Cloud Solutions Architect
- AI Solutions Architect
- Data Analyst
- AWS Cloud Practitioner
- AI Consultant
- Machine Learning Specialist
- AI Research Scientist
- Cloud Developer
- Data Engineer
- AI Product Manager
- Software Developer
- IT Consultant
- Technical Support Engineer
- Business Intelligence Developer
- AI System Developer
- Cloud Infrastructure Engineer
- Technology Analyst
Trainers
Quah Chee Yong : Start-up experience in the field of Data Analytics and Digital Assistant/Chatbot. Blockchain Enthusiast. Lead Trainer (ACLP) in the field of AI/Data Science. General Management experience in Sales, Marketing, Business Development, Technical Services, Shipping/Marine & Supply Chain, HSSE/Risk Management and Support Functions Combination of Commercial, Operational and Technical background in MNCs covering the Asia Pacific region Staff/Stakeholders Management in a virtual matrix organizational setup spanning diverse cultures globally. I have obtained AWS certification.
Agus Salim: Agus Salim is a professional with more than 10 years of experience in Project Management, IT Solutions Management, and Systems Integration both in waterfall and agile methodology. He started out his career as a Web Developer before moving on to Business Analyst/Project Manager. He has strong leadership and the capability of leading a team with a proven ability to deliver projects with tight timelines. Besides his experiences in managing projects, he has good knowledge in Cybersecurity and hands-on experience in Next Generation Firewall such as Check Point. During his free time, he likes to explore Cloud Technology, especially on Microsoft Azure. Agus has obtained AZ-104, AZ-500 and other Microsoft certifications. I am also a ALCP certified trainer.
Anil Bidari: Anil is a ACLP certified trainer. He is an Enterprise Cloud and DevOps Consultant , responsible for helping clients to move Virtual data centre to Private Cloud based on OpenStack and Public Cloud ( AWS, Azure and Google cloud) . Consulting and training experience on Devops tool chain like github , Jenkins, Sonarqube, Docker & kubernetes, Cloud foundry, Openshift, Ansible and SaltStack. Lot of my Role is involved design and implementation of a solution and training
Peter Cheong : Peter is a ACLP certied trainer. Specialise In IT related knowlege and conduct IT Training which Include Microsoft Window Server Technology (Wintel) and Linux - Centos/Red Hat. Comptia ,ITIL , Motorola Solution Trunking System and Cisco Networking. I was worked in Motorola Solutions Conduct Motorola Astro 25 Trunking System For Police Force Malaysia (RMPnet),Taiwan Navy, Indonesia METRO POLDA (Police Force). After that Peter Join As IT Group Manager For W-Group which include 17 subsidiaries Companies in Real Estate Developer,Plantation, Building Management Services ,Contruction and also Fiber Opti Service Provider in Sabah,Malaysia.
Ben Law Beng Tjin: Ben is an experienced IT Infrastructure professional with more than 20 years of working experience in IT sector. Due to Corporate Digital Transformation and COVID-19 during early 2020 he shifted his focus to Cloud Computing specialized in Cloud Infrastructure Solutioning. He is an AWS Certified Solution Architect Associate, Google Certified Cloud Engineer, Microsoft Certified Azure Fundamentals and Alibaba Cloud Associate.
Customer Reviews (4)
- might recommend Review by Course Participant/Trainee
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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 - will recommend Review by Course Participant/Trainee
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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 - might recommend Review by Course Participant/Trainee
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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 - Might Consider Review by Course Participant/Trainee
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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
lesson should conduct in 2 full days rather than 1full day so the lesson will not be so pack. (Posted on 8/13/2019)