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AWS Certified AI Practitioner AIF-C01 Exam Prep

Prepare to excel in the AWS Certified AI Practitioner AIF-C01 exam with our comprehensive course. Covering essential AI concepts, machine learning fundamentals, and AWS-specific AI tools, this course ensures you gain the necessary skills to succeed. Our expert instructors provide in-depth training on AWS services such as Amazon SageMaker, Amazon Q Business, and Amazon Bedrock, focusing on practical applications and real-world scenarios.

The course includes detailed modules on generative AI, responsible AI practices, and the development of machine learning solutions. You'll explore AI use cases, learn how to implement AI models, and understand the principles of AI security and compliance. With hands-on labs, case studies, and mock exams, you'll be well-prepared to achieve certification and advance your career in the AI and cloud computing fields.

Certification

  • Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.

  • External Certification - The participant will be able to attempt the AWS Certified AI Practitioner exam after attending this course. Upon passing the exam, you will receive the AWS Certified AI Practitioner accreditation. This certification validates that the individual possesses the skills and knowledge necessary to design and deploy scalable, highly available, and fault-tolerant systems on the Amazon Web Services (AWS) platform. It demonstrates proficiency in various aspects of AWS architecture, including designing and deploying applications on AWS, selecting appropriate AWS services based on requirements, designing highly available and scalable systems, and implementing cost-effective solutions.

Certification Exam at Pearson Vue

Once you are prepared for the exam, you can register for the certification AIF-C01 AWS Certified AI Practitioner Exam here. We are Authorised Pearson Vue Testing Center. You can take the certification exam at our test center. Note that the course fee does not include the certification exam fee.

You can purchase the exam voucher (one of the lowest prices in Singapore) at AWS Foundational Certification Exam Voucher.

Funding and Grant Applications

No funding is available for this course

For WSQ funding, please checkout the details at WSQ - AWS Certified AI Practitioner Training (AIF-C01)

Course Code: C19

Course Booking

The course fee listed below is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

$600.00 (GST-exclusive)
$654.00 (GST-inclusive)

Course Date

Course Time

* Required Fields

Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


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
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
More examples done and shown by the trainer before the students try it out by themselves. (Posted on 10/3/2022)
will recommend 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
. (Posted on 2/10/2021)
might recommend 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
Perhaps, can recommend people to go for "html & css" course first before going for this dreamweaver course as advised by the trainer. So we can understand css better and apply when using Dreamweaver more efficiently. (Posted on 3/16/2020)
Might Consider 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
should provide desktop rather than laptop, mouse not provided, class were too small, the TV to project from the laptop were not connected something is wrong.

lesson should conduct in 2 full days rather than 1full day so the lesson will not be so pack. (Posted on 8/13/2019)

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