Step into the Future of AI:
Master AI & Machine Learning with Google Cloud (FULL – No Longer Accepting Registrations)

Time: 9:00am – 5:00pm

Date: 7th April 2025

Mode: Live Virtual (VILT)

Hands-On Learning to Build Real-World AI Solutions

Trainocate Malaysia invites you to a free virtual training designed to equip you with the skills to build, deploy, and manage AI-driven applications using Google Cloud Platform (GCP). This hands-on session will guide you through practical AI and Machine Learning workflows that businesses use to transform data into insights and actions.

Why Attend? Here’s why:

The market size in the Artificial Intelligence market is projected to reach USD 1.06B in 2025.

nearly 90% of employers are seeking professionals with AI skills in Malaysia

Artificial Intelligence skills can increase salaries by as much as 40%

Companies are racing to implement AI solutions that solve real-world challenges. This training will help you stay ahead by learning practical skills that can be applied immediately in your role.

So, What Will You Get from This Training?

  • Learn how to build, train, and deploy machine learning models
  • Gain hands-on experience with Google Cloud’s AI tools
  • Discover how to solve real business challenges using AI-driven solutions
  • Receive a certificate of participation from Trainocate Malaysia
  • Connect with a community of like-minded professionals

Who is it for?

This training is designed for:

  • IT professionals looking to expand their skillsets in AI
  • Data scientists and analysts seeking to apply ML models to business scenarios
  • Business leaders interested in leveraging AI for better decision-making
  • Developers eager to enhance their knowledge of Google Cloud

Here’s the full Agenda

Module 1:

Understanding AI & Machine Learning on Google Cloud

  • Learn how Google Cloud empowers businesses to innovate faster with AI.
  • Explore the difference between AI, ML, and data-driven decision-making.

Module 2:

Building a Machine Learning Pipeline with Google Cloud

  • Understand how to build an end-to-end ML pipeline using Google Cloud services.
  • Learn best practices for data ingestion, transformation, and model training.

Module 3:

Hands-On Lab: Developing Your First ML Model

  • Get practical experience in developing a machine learning model from scratch.
  • Discover how to use Google Cloud tools to train, test, and deploy your model.

Module 4:

Optimizing AI Workflows for Real-World Applications

  • Learn how to optimize and fine-tune your ML models for business use cases.
  • Explore industry-specific AI solutions for retail, finance, healthcare, and more.

Module 5:

Ensuring Data Security and Compliance

  • Understand how Google Cloud addresses security and compliance requirements for AI workloads.
  • Learn to implement best practices for protecting sensitive data.

Key Takeaways (Why You Can’t Miss This!)

  • Demystify AI and Machine Learning: Understand what AI really is and how it’s transforming industries.
  • Build Your Own ML Model: Get hands-on experience creating a machine learning pipeline on Google Cloud.
  • Apply AI to Business Challenges: Learn how AI can solve real problems in your business.
  • Earn a Certificate: Receive a participation certificate to showcase your new skills.

Meet your mentor of the day:

Farhana Farish

Facilitator

Digital Marketing Specialist with 2 years of working experience in social media branding and KOL management to boost brand visibility and engagement.

Yong Yuen Ming

Speaker

A seasoned Technical Trainer with over 15 years of experience in the IT industry. His expertise spans cloud computing, database management, IT infrastructure, and system optimization. Renowned for simplifying complex concepts into real-world applications, he is an invaluable asset for professionals aiming to excel in the ever-evolving tech landscape.

Yang Ling Liau

Facilitator

Digital Marketing Specialist skilled in social media, email marketing, and SEO, with a focus on data-driven campaigns to boost engagement and drive growth.