Managing Machine Learning Projects with Google Cloud
Managing Machine Learning Projects with Google Cloud
These skills were generated by A.I. Do you agree this course teaches these skills?
Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact. Find out how you can discover unexpected use cases, recognize the phases of an ML project and considerations within each, and gain confidence to propose a custom ML use case to your team or leadership or translate the requirements to a technical team.
コース情報
目標
- Explore common machine learning use cases implemented by businesses.
- Assess the feasibility of your own ML use case and its ability to meaningfully impact your business.
- Identify the requirements to build, train, and evaluate an ML model.
- Define data characteristics and biases that affect the quality of ML models.
- Recognize key considerations for managing ML projects.
前提条件
• No prior technical knowledge is required.
• Savvy about your own business and objectives.
• Recommended: Business Transformation with Google Cloud (on-demand).
対象
Enterprise, corporate, or SMB business professionals in non-technical roles. Roles include but are not limited to: business analysts, IT managers, project managers, and product managers.
For senior VPs and above, Data-Driven Transformation with Google Cloud (ILT) is more suitable.
使用できる言語
English
このコースを修了した後はどうすればよいですか？
コースを修了した後は、学習プログラム のその他のコンテンツを確認したり、学習カタログ を閲覧したりできます。
どのようなバッジを獲得できますか？
コースを修了すると、修了バッジが付与されます。バッジはプロフィールで確認可能で、ソーシャル ネットワークで共有していただくこともできます。
オンデマンド パートナーを介してこのコースの受講を希望される場合
Coursera および Pluralsight で Google Cloud のコンテンツをご確認ください。
インストラクターによる指導をご希望の場合