Smart Analytics, Machine Learning, and AI on Google Cloud
This course instructs on integrating machine learning into data pipelines utilizing BigQuery ML, AutoML, and Vertex AI, emphasizing model development and deployment on Google Cloud.
Description for Smart Analytics, Machine Learning, and AI on Google Cloud
Distinguish between Machine Learning, Artificial Intelligence, and Deep Learning.: Comprehend the distinctions of machine learning, artificial intelligence, and deep learning, along with their applications across many fields.
Utilization of Machine Learning APIs on Unstructured Data: Acquire proficiency in utilizing machine learning APIs to process and analyze unstructured data for insights.
Integration of BigQuery and Notebooks: Execute BigQuery commands straight from notebooks to manipulate extensive datasets and utilize cloud-based machine learning.
Developing Machine Learning Models using BigQuery ML and Vertex AI AutoML: Acquire the skills to develop machine learning models utilizing SQL syntax in BigQuery and employ Vertex AI AutoML for streamlined model construction without scripting.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by Google Cloud
Duration: 6 hours (approximately)
Schedule: Flexible
Pricing for Smart Analytics, Machine Learning, and AI on Google Cloud
Use Cases for Smart Analytics, Machine Learning, and AI on Google Cloud
FAQs for Smart Analytics, Machine Learning, and AI on Google Cloud
Reviews for Smart Analytics, Machine Learning, and AI on Google Cloud
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Smart Analytics, Machine Learning, and AI on Google Cloud
Enterprise Content Generation is an AI tool tailored for enterprises, offering adaptable functionality, industry-specific use cases, tailored resources, business-ready features, strong reporting capabilities, security measures, and enhanced productivity and efficiency for revenue stimulation.
Formx AI is an AI-powered application that extracts data from physical documents using OCR and Regex AI, offering structured digital conversion, preconfigured data models, seamless API integration, and a user-friendly platform with mobile scanning support.
Cleanup.pictures, an AI-driven tool, effortlessly removes unwanted elements from images, with features like object removal, AI-powered inpainting, user-friendly interface, and high-resolution editing. While it offers cost-effective plans and versatile use cases, limitations include resolution restrictions in the free version and dependency on a stable internet connection.
Autogen streamlines large language model application development with its high-level abstraction framework and optimized API, while fostering community collaboration for ongoing improvement.
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.
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.
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.
Featured Tools
Acquire the ability to differentiate between static and dynamic training and inference, manage model dependencies, establish distributed training for defect tolerance and replication, and generate exportable models.
This 2-hour project-based course will instruct you on the interpretation of the dataset for machine learning, the impact of various features on a mode, and the evaluation of these features.
Developing a Strategic Advantage through the Mastery of Generative AI. Leverage the transformative potential of Generative AI to empower your leadership suite.
The implementation of scalable, replicable machine learning processes and the use of Vertex AI for efficient feature management will be demonstrated to participants.
Explore the use of generative AI tools to enhance data preparation, querying, and machine learning model development in data science workflows through hands-on projects.
Compare & Review AI Tool Directory AI Course Marketplace
AI Tool Categories
AI Productivity ToolsMultimodal AI ToolsAI Image GeneratorsAI Text GeneratorsAI Video GeneratorsAI Audio GeneratorsAI Art GeneratorsMisc AI ToolsAI Code GeneratorsFree AI ToolsAI Functions
Marketing AI ToolsAI Tools for EducationAI Tools for ResearchAI Tools for FinanceAI Project Management ToolsLegal AI ToolsAI Tools for E-commerceAI Agents For AutomationAI Tools for BusinessAI Tools for Real EstateAI Course Categories
AI & Machine Learning CoursesGenerative AI CoursesData Science CoursesComputer Science CoursesAI Courses for BeginnersContact Us: info@groupify.ai
Aimed Labs