AI Platforms & Ecosystems: Tools for Scalable Intelligence
artificial-intelligence-ai.
Course Modules:
Module 1: Overview of AI Platforms and Ecosystems
What makes an AI platform?
Open-source vs. cloud-based ecosystems
Criteria for platform selection
Module 2: Google Cloud AI & Vertex AI
Training models with AutoML and BigQuery ML
Deploying models using Vertex AI
Data labeling, pipelines, and monitoring
Module 3: AWS AI & SageMaker
Setting up an ML workflow in SageMaker
Prebuilt models, notebooks, and pipelines
Real-time inference and batch transforms
Module 4: Azure Machine Learning
Training and tracking models in Azure ML Studio
Building pipelines and AutoML experiments
Integration with GitHub and Power BI
Module 5: Hugging Face & Model Hubs
Using Transformers and pre-trained models
Hosting models with Hugging Face Spaces
Fine-tuning NLP and vision models
Module 6: OpenAI & API Integrations
Introduction to GPT, Whisper, and DALL·E APIs
Prompt engineering for model interaction
Use cases in writing, coding, and automation
Module 7: Building AI Systems with Multiple Tools
Combining APIs with cloud pipelines
Building dashboards and real-time apps
Example: Sentiment analysis system using Hugging Face + GCP
Module 8: Final Project – Platform-Based AI Solution
Choose a platform to build your own use case
Possible projects:
Text generation API with OpenAI
Image classifier using SageMaker
Chatbot using Azure ML + Hugging Face
Submit your code, platform setup, and deployment demo
Tools & Platforms Used:
Google Cloud (Vertex AI, BigQuery ML)
AWS SageMaker
Microsoft Azure ML Studio
Hugging Face
OpenAI API
GitHub, Postman, Streamlit
Target Audience:
Intermediate AI learners
Developers exploring scalable AI systems
Data scientists integrating platform-based tools
Professionals working in cloud or enterprise environments
Global Learning Benefits:
Master the world’s most used AI platforms
Learn how to scale AI with cloud tools and APIs
Gain real-world experience deploying AI using industry-grade tools
Get certified in platform-specific workflows employers seek
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