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Building Generative and Agentic AI Applications with Amazon Bedrock

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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Certification

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

Building Generative and Agentic AI Applications with Amazon Bedrock

Course Code: C196
  • HRDF

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What's This Course About

Master the art of building serverless AI workflows with Amazon Bedrock in this hands-on course. Learn the fundamentals of foundation models, model families, and their capabilities while exploring the architecture and core components of generative AI applications. Gain insights into fine-tuning models and leveraging Amazon Bedrock’s powerful features to create intelligent AI-driven solutions without complex coding.

This course also guides you in developing AI agents that integrate seamlessly with CRM services, customer support repositories, and automation tools. Learn how to configure, optimize, and secure AI workflows in the AWS console while implementing guardrails and performing real-time calculations. Whether you're a business professional, AI developer, or cloud architect, this course equips you with the skills to leverage Amazon Bedrock for AI-driven automation and innovation.

WSQ Funding

Full Fee 1,050.00 Before GST
GST 94.50 9% of fee
Baseline Nett 619.50 SG/PR age 21+ · 50% funded
MCES / SME Nett 409.50 SG age 40+ · 70% funded
Funding and Grant Applications

For WSQ funding, please checkout the details at WSQ - Building Generative AI Applications Using AWS Bedrock

Course Fee

MYR1,050.00

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

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. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1: Amazon Bedrock and Foundation Models

Introduction to Amazon Bedrock

Foundation Models

Application Components

Topic 2: AI Workflow Using LangChain

Using LangChain

Building Pipelines with LangChain

Topic 3: Retrieval-Augmented Generation (RAG) and Agents

Using Knowledge Bases

Using Agents

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: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

Sign up for free AWS Account

Hardware: Windows and Mac Laptops

Job Roles

Job Roles

  • AI Solutions Architect
  • Cloud AI Developer
  • Amazon Bedrock Specialist
  • AI Automation Engineer
  • Serverless AI Developer
  • AI-powered Customer Service Specialist
  • AWS AI Engineer
  • AI Chatbot Developer
  • CRM AI Integration Specialist
  • AI Operations Manager
  • AI Strategy Consultant
  • AI Workflow Engineer
  • AI Researcher
  • Business Intelligence Analyst
  • AI-driven Marketing Specialist
  • Generative AI Application Developer
  • AI Compliance & Security Analyst
  • AI Innovation Manager

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.

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