What will you learn in Advanced Machine Learning on Google Cloud Specialization Course
Architect and deploy production-grade ML systems on GCP: distributed training, fault tolerance, and model portability.
Develop computer vision and image classification models using TensorFlow on GCP, including data augmentation and CNN applications.
Build NLP models with TensorFlow and Vertex AI: sequence modeling, transformers, and fine-tuning techniques.
Implement recommendation systems using hybrid methods and reinforcement learning (contextual bandits).
Program Overview
Module 1: End-to-End ML with TensorFlow on GCP
⏳ ~18 hours
Topics: Full ML pipeline on GCP; distributed training, model export, scalability strategies.
Hands-on: Qwiklabs-driven labs to build end-to-end TensorFlow pipelines.
Module 2: Production Machine Learning Systems
⏳ ~18 hours
Topics: Static vs dynamic training/inference setups; fault-tolerance and replication patterns.
Hands-on: Deploy and monitor scalable ML systems using TensorFlow and GCP infrastructure.
Module 3: Computer Vision Fundamentals
⏳ ~18 hours
Topics: CNN architectures, image augmentation, performance tuning for small datasets on GCP.
Hands-on: Train and optimize image models, manage overfitting and resource limitations.
Module 4: NLP & Sequence Models
⏳ ~8 hours
Topics: NLP pipelines with LSTM, GRU, encoder-decoder, attention, and BERT-like models on Vertex AI.
Hands-on: Build and fine-tune language models using GCP and TensorFlow APIs.
Module 5: Recommendation Systems
⏳ ~13 hours
Topics: Content-based and collaborative filtering; embeddings; contextual bandits for recommendations.
Hands-on: Implement hybrid recommendation systems optimized for contextual relevance.
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Job Outlook
Equips you for roles like ML Engineer, AI Cloud Engineer, or Data Scientist working on large-scale, production ML pipelines.
One of Coursera’s top 10 ML specializations, widely recognized for real-world, hands-on skill development.
Qwiklabs labs reinforce capabilities with scalable GCP deployment and MLOps best practices.
Specification: Advanced Machine Learning on Google Cloud Specialization
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