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Course Details
Course Details
What You'll Learn
Topic 1: Fundamentals of AI and ML
Basic AI/ML concepts and terminology
Types of ML
Phases of the ML lifecycle
Roles of common AWS AI/ML services
Typical AI/ML use cases and business outcomes
Topic 2: Fundamentals of Generative AI
Generative vs. discriminative models
Key architectures
Basics of prompt engineering for text-based generative AI
Concepts of foundation models and large language models (LLMs)
Common applications of generative AI
Topic 3: Applications of Foundation Models
Common use cases
Approaches for customizing or fine-tuning foundation models
AWS services supporting large language models and other foundation models
Methods for evaluating generative AI outputs
Integration of foundation models into AI-driven applications
Topic 4: Guidelines for Responsible AI
Ethical considerations
Privacy, security, and data governance best practices
Regulatory frameworks and compliance requirements
Strategies to mitigate bias and unintended consequences
Topic 5: Security, Compliance, and Governance for AI Solutions
AWS security services and controls for AI/ML workloads
Compliance and regulatory considerations
Governance mechanisms
Secure deployment and monitoring best practices
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
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
Trainers
Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.
