Enroll Course: https://www.udemy.com/course/ai-matrixflow-benesse1/
In today’s rapidly digitizing world, Artificial Intelligence (AI) stands at the forefront of transformation. The Japanese government’s ‘AI Strategy 2019’ highlights ‘Mathematics, Data Science, and AI’ as the new ‘reading, writing, and arithmetic’ for the digital age, setting a goal to cultivate 250,000 individuals capable of utilizing data science and AI in their respective fields by 2025. A critical challenge in realizing widespread AI adoption in business is nurturing talent not just in engineering, but also on the business side, to correctly understand AI.
This is where the ‘Deep Learning Generalist Examination’ (commonly known as the G-Certification), organized by the Deep Learning Association, comes in. It aims to certify business professionals in AI. With over 10,000 successful candidates in 2019 and coverage in news programs, the G-Certification is gaining significant attention. However, for those on the business side, particularly those from humanities backgrounds, a fear of technical knowledge, especially mathematics, often presents a major hurdle.
This Udemy course, taught by an instructor who personally passed the G-Certification in 2019, directly addresses this challenge. Based on their own learning journey, the instructor shares effective study methods and useful resources. The core of the course focuses on providing a hands-on implementation experience of deep learning models without requiring any prior mathematical knowledge. The goal is to enable beginners to grasp the overall picture of deep learning in a short amount of time.
The course is structured into two main parts. The first half covers the overview of the G-Certification, effective study strategies for passing it, and foundational AI knowledge to get you started. The instructor will also provide materials they created for their own exam preparation.
The second half dives into the practical implementation of machine learning and deep learning concepts, entirely without math. Using ‘MatrixFlow,’ a cutting-edge visual AI tool, you’ll build an AI capable of correctly classifying images of ‘dogs and cats.’ You’ll also create a natural language processing AI to categorize content from news websites. A specialized instructor involved in the development of ‘MatrixFlow’ will provide clear explanations of how machine learning and deep learning work.
This course is designed for beginners who want to understand the overall landscape of AI and experience deep learning implementation firsthand. It can also serve as an introductory resource for beginners preparing for the G-Certification.
**Important Considerations:**
* This course prioritizes understanding the overall AI picture without math. Therefore, individuals already advanced in AI learning might find the content too basic.
* Some explanations may have minor exceptions from a strict, expert perspective, which we ask for your understanding.
* Passing the G-Certification is not guaranteed solely by completing this course.
* The course does not cover new content added to the G-Certification syllabus from 2021 onwards. For the latest information, please refer to the Deep Learning Association’s website and official texts.
* An account for ‘MatrixFlow’ is required for the practical exercises in the latter half. While normally a paid service, this course provides a 2-hour free access account for all students, ensuring no costs are incurred.
We hope this course ignites your interest in AI and deep learning, serving as a gateway to further exploration and learning.
Enroll Course: https://www.udemy.com/course/ai-matrixflow-benesse1/