Pelatihan Sertifikasi AI-900 TelU Edward

  • Online | Program

Themes & Topics

Digital & Information Technologies

AI & ML, Data Science

Education

STEAM Education

About the Experience

Duration: 4 hours
Intermediate
Up To 50 Learners
Languages: Bahasa Indonesia, English

Description

Join an immersive 3-day certification training designed to help you confidently prepare for the Microsoft Al-900 (Azure Al Fundamentals) exam! 

Led by Edward Ferdian, an expert in AI, this course simplifies Al concepts and Microsoft Azure's Al services.

Each session is 3-4 hours long, packed with engaging discussions, hands-on labs, and real-world Al applications. We'll start with the fundamentals of Al, explore Azure's Al capabilities, and dive into exam- focused strategies. Interactive quizzes and practical exercises will keep you engaged throughout the journey.


By the end of this training, you'll have a solid understanding of Al concepts and Azure Al services, giving you the confidence to pass the Al-900 certification exam. Whether you're an educator, student, or professional, this course will boost your Al literacy and open doors to new opportunities in tech!

Instructions

How to prepare

To make the most of this online training, learners should: - Ensure a Stable Internet Connection - The sessions are interactive, so a reliable internet connection is essential for smooth participation. - Create a Distraction-Free Learning Space - Find a quiet and comfortable workspace to fully engage in discussions and hands-on activities. - Set Up a Microsoft Azure Account - A free trial or existing Azure account is recommended for practical exercises. Instructions will be provided before the first session. - Bring a Notebook & Questions - Take notes, ask questions, and be ready to actively engage with Al concepts and exam strategies. - Get ready to boost your Al knowledge and ace the Al-900 exam!

What to bring

  • Certificate Completion of AI-900

About the Expert

Edward Ferdian

I am a lecturer at Telkom University, focusing on teaching and research related on artificial intelligence, in particular computer vision and medical imaging. I was a Research Fellow at Auckland Bioengineering Institute, New Zealand, a world-leading research institute that aims to improve medical diagnosis and treatment. I obtained my PhD in Anatomy and Medical Imaging from Auckland University under the New Zealand Heart Foundation grant. My research interests are mainly, but not limited to, deep learning, medical imaging, synthetic data, computer vision, generative AI, and large language models (LLMs).
Bandung, Indonesia

Location

Telkom University, Jl. Telekomunikasi No. 1, Bandung Terusan Buahbatu - Bojongsoang,
Bandung, Jawa Barat, Indonesia

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