Vertex AI | Gemini | Generative AI - GCP Machine learning

Unlock the power of Machine Learning with Google Cloud (GCP)! This comprehensive course is designed for anyone looking to master ML on GCP, leveraging the fastest-growing public cloud platform.

Dive into over 10+ hours of HD video content and 60+ hands-on labs – a highly practical approach to learning. You'll gain expertise in deploying ML applications within the Google Cloud infrastructure and become proficient with GCP Vertex AI.

What you'll learn:

• GCP & Machine Learning Fundamentals: Get started with Google Cloud, understand regions & zones, and grasp the basics of Machine Learning. Learn to identify the right Google Cloud ML service for your needs, including essential helper services like Compute Engine, IAM (Identity & Access Management), and Google Cloud Storage.
• Google Machine Learning API: Utilize powerful prebuilt Machine Learning APIs for a wide range of tasks. Master object detection, sentiment analysis, label detection, OCR, face detection, entity analysis, content classification, speech-to-text, and text-to-speech conversion using Vision API, Language API, and Speech API.
• GCP AutoML: Build custom Machine Learning models with your own data using AutoML (Auto Machine Learning). Learn to perform object classification, content classification, and tabular data analysis with ease.
• Vertex AI Custom Training: Train custom ML models with your own data and algorithms using both custom container and prebuilt container options (with scikit-learn & TensorFlow). Learn to manage models in the model registry and deploy them to endpoints for online prediction. Also, set up batch jobs for prediction on image and tabular data without deployment.
• Vertex AI Pipeline: Automate your entire Machine Learning workflow with Vertex AI Pipeline. Create end-to-end pipelines encompassing dataset creation, training, endpoint creation, and model deployment – all in one place.

This course is perfect for:

• Individuals aiming for Machine Learning with Google Cloud certification.
• Developers seeking to deploy ML applications on GCP.
• Data scientists wanting to leverage Vertex AI for advanced ML.

Course Benefits:

• Highly Practical: 80% practical exercises, 20% theory – learn by doing!
• Exam-Relevant: Covers topics directly related to certification exams.
• Comprehensive Coverage: Delves into all major aspects of Vertex AI, including prebuilt APIs, AutoML, Vertex AI Pipeline, and custom training.
• Lifetime Access: Stay updated with all course materials and future updates.
• Q&A Support: Get your questions answered.
• 30-Day Money-Back Guarantee: Enroll with confidence.
• Udemy Certificate of Completion: Showcase your skills.

Enroll now and embark on your journey to becoming a Machine Learning expert on Google Cloud!

Regards,

Ankit Mistry