Digital Transformation Using AI/ML with Google Cloud Specialization
The course introduces Google Cloud fundamentals for transforming business models with data, ML, and AI, targeting those interested in cloud AI/ML impacts on business without requiring prior experience, and excludes hands-on technical training.
Description for Digital Transformation Using AI/ML with Google Cloud Specialization
Features of Course
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by Google Cloud Training
Duration: 1 month at 10 hours a week
Schedule: Flexible
Pricing for Digital Transformation Using AI/ML with Google Cloud Specialization
Use Cases for Digital Transformation Using AI/ML with Google Cloud Specialization
FAQs for Digital Transformation Using AI/ML with Google Cloud Specialization
Reviews for Digital Transformation Using AI/ML with Google Cloud Specialization
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Digital Transformation Using AI/ML with Google Cloud Specialization
The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.
Enhance your software development career with Gen AI. Develop hands-on, in-demand Generative AI skills to elevate your software engineering game in one month or less.
Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.
Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.
Enhance your Product Manager career with Gen AI. Boost your Product Manager career in under two months by developing hands-on, in-demand generative AI skills. No prior experience is required to initiate the process.
This course will provide you with an understanding of the technical underpinnings and essential terminology associated with generative artificial intelligence (AI).
Delve into the historical evolution of Generative AI and AI, exploring diverse models and their applications in business contexts for optimized decision-making and innovation.
Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.
This learning path provides a thorough overview of generative AI. This specialization delves into the ethical considerations that are essential for the responsible development and deployment of AI, as well as the foundations of large language models (LLMs) and their diverse applications.
Begin your professional journey as an AI Product Manager. Develop generative AI and product management skills that are in high demand to be job-ready in six months or less.
Featured Tools
Gain practical skills in relational and NoSQL databases, Big Data tools, and data pipelines for comprehensive data engineering tasks.
Specialization in Machine Learning at BreakIntoAI. Master the fundamental AI concepts and cultivate practical machine learning skills in the beginner-friendly, three-course program by AI visionary Andrew Ng.
Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.
Learn to clean, prepare, analyze, and manipulate data with Python, utilize libraries for exploratory data analysis, and develop regression models for prediction and decision-making using scikit-learn.
Apply linear algebra concepts like linear independence, rank, singularity, eigenvalues, and eigenvectors to analyze data and solve machine learning problems using standard vector and matrix operations.