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GCP AI Services Course

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₹35,000.00
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Overview:

The Google AI course provides an in-depth understanding of Google Cloud Platform’s AI capabilities, enabling participants to build intelligent, scalable solutions for diverse applications.
The course begins with an introduction to GCP’s AI services and progresses to hands-on training with Vertex AI for managing machine learning models. Learners will explore advanced AI tools for natural language processing, speech recognition, and synthesis using Cloud Natural Language and Speech-to-Text/Text-to-Speech services.
Additionally, the course covers visual and video intelligence tools, including Cloud Vision for image analysis and Video AI for extracting insights from video content. By the end of this course, participants will be skilled in leveraging GCP AI services to create innovative and impactful AI-driven applications.

What You'll Learn

  • Foundational Concepts of GCP AI : Understanding the integration of AI services within GCP.
  • Machine Learning with Vertex AI : Explore how to build, train, and deploy ML models using Vertex AI.
  • Natural Language and Speech Services : Utilize services like Google Cloud Natural Language and Speech-to-Text for building interactive applications.
  • Vision and Video AI : Implement Google Cloud Vision and Video AI to analyze images and videos.

Course Content

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FAQs

1. What are GCP AI Services, and why should I learn them?

GCP AI Services offer tools like Vision AI, Speech-to-Text, and AutoML to easily integrate AI capabilities into applications.

2. Who should take the GCP AI Services course?

Developers, data scientists, and IT professionals looking to build AI-powered applications using Google Cloud.

3. What will I learn in the GCP AI Services course?

You’ll learn Google AI, Vision AI, AutoML, and NLP APIs, deploy ML models, and integrate GCP AI tools into applications.

4. How long does it take to complete the GCP AI Services course?

It takes 2 to 3 weeks, with about 1 hour of study daily.

5. Are there prerequisites for enrolling in this course?

Basic knowledge of Python and cloud computing is recommended but not required.

6. Will I work on hands-on projects during the course?

Yes, including creating image recognition apps with Vision AI, deploying chatbots, and automating workflows with AutoML.

7. What tools and platforms will I use in this course?

GCP tools like Vision AI, AutoML, Natural Language API, and BigQuery ML.

8. What career opportunities are available after completing this course?

You can pursue roles like AI Developer, Data Scientist, or GCP AI Specialist.

9. Will I be awarded a certification when I complete the course?

Yes, you’ll earn a completion Google AI certification and prepare for the Google Professional Machine Learning Engineer certification.

10. How does this course differ from other AI courses?

It focuses on GCP’s AI tools, combining pre-built APIs and custom ML workflows for real-world applications.

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This educational material is independently created and offered by Bot Campus AI. It is not sponsored by,endorsed by, or affiliated with Microsoft Corporation, Amazon Technologies, Inc., Google LLC, the Python Software Foundation, or Tableau Software, LLC. The use of these terms in our course material is for descriptive purposes only and does not imply any affiliation with or endorsement by the trademark owners.
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