An Overview of Free Courses on Google Cloud
For those who are new to machine learning and artificial intelligence, Google Cloud offers free courses. These are a few essential courses:Essentials of Google AI
Discover the fundamentals of AI tools and how they increase daily task productivity.Time: about six hours
Foundations of Cloud Computing
Learn the fundamentals of cloud computing that underpin machine learning applications.Time frame: approximately 15 hours
Fundamentals of Big Data and Machine Learning on Google Cloud
Use Google Cloud to investigate big data processing and basic machine learning concepts.Time frame: approximately 10 hours
Using Google Cloud AI to innovate
Discover how companies can improve operations and spur innovation by utilizing AI and ML.Time frame: approximately one hour
TensorFlow for Machine Learning on Google Cloud
Build ML models and gain practical TensorFlow experience.Time frame: approximately 12 hours
Courses on generative AI for all levels of expertise
Learn about the newest training programs for generative AI, ranging from basic to advanced. For application developers or data scientists, begin with an introduction or move on to more advanced training.Novice: Overview of Generative Artificial Intelligence
From the foundations of large language models to responsible AI principles, this learning path offers a broad overview of generative AI concepts.Intermediate : Gemini for Google Cloud
Examples of how Gemini can help engineers of all kinds become more productive in their everyday tasks are given in the Gemini for Google Cloud learning path. You can quickly chat with Gemini's natural language chat interface to get answers to your cloud-related queries or advice on best practices. Gemini can generate code blocks based on comments or assist you in finishing your code as you write, whether you're creating apps, calling APIs, or querying data. For a variety of positions, such as developers, data analysts, cloud engineers, architects, and security engineers, this learning path offers direction.Advanced: Developers' Guide to Generative AI
A technical-focused generative AI learning path designed for data scientists, machine learning engineers, and app developers. Suggested prerequisite: Overview of the learning path for generative AI.Practical training for engineers in machine learning
Experience machine learning in the real world with Google Cloud technologies. This practical learning path teaches you how to design, develop, produce, optimize, and maintain machine learning systems.An overview of Google Cloud's AI and machine learning capabilities.
Carry out AI, ML, and foundational data tasks in Google Cloud.
entering the field of machine learning.
The Google Cloud version of TensorFlow.
Generative AI Machine Learning Operations (MLOps).
Create and implement Vertex AI's machine learning solutions.
Use Dialogflow CX to develop conversational AI agents.
Intermediate: Google Cloud's Gemini
Obtain a machine learning certification.
Get an industry-recognized Google Cloud machine learning certification to demonstrate your expertise. This test evaluates your skills in serving and scaling models, designing low-code machine learning solutions, and more.Benefits of Enrolling in These Courses: Cost-Free Education: All of Google Cloud's courses are free, giving students access to top-notch learning materials without worrying about money.
Industry-Relevant Skills: These courses, which cover technologies that are currently influencing the labor market, were created by professionals in the field.
Flexible Schedule: You can learn at your own pace when you have online access, which makes juggling school and other obligations easier.Online tutoring programs
Opportunities for Certification: Completing many courses results in certificates that can improve your professional profile and resume.
Practical Experience: Practical labs are a common feature of courses that allow students to put their knowledge to use in real-world situations.
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