Cloud Platforms for AI and Data Science (AWS, Azure, GCP)
Immerse in a 5-day course on AWS, Azure, and GCP for AI and data science, with hands-on labs, real-world projects, and cloud strategy development.
Course Description
Introduction
This 5-day intensive professional course is designed to provide participants with a comprehensive understanding of the top cloud platforms used for artificial intelligence (AI) and data science: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Participants will gain hands-on experience and the necessary skills to effectively utilize these platforms to advance their projects and career in AI and data science.
Objectives:
- Understand the foundational concepts of cloud computing and its application in AI and data science.
- Gain proficiency in using AWS, Azure, and GCP for AI and data-oriented solutions.
- Learn to deploy, manage, and optimize AI models and data workflows in the cloud.
- Develop an integrated strategy for utilizing cloud services across different platforms.
- Enhance problem-solving skills through real-world case studies and hands-on projects.
Course Outlines
Day 1: Introduction to Cloud Computing for AI and Data Science
- Overview of Cloud Computing and its impact on AI
- Comparison of AWS, Azure, and GCP for AI and Data Science
- Understanding Cloud Services and Deployment Models
- Data Security and Compliance in the Cloud
- Setting up Accounts and Access Management
Day 2: Amazon Web Services (AWS) for AI and Data Science
- Introduction to AWS AI and Machine Learning Services
- Building AI Models using Amazon Sagemaker
- Data Storage and Processing with AWS S3, RDS, and Redshift
- Serverless Architecture: Lambda and API Gateway
- Real-World Applications: Hands-on Lab
Day 3: Microsoft Azure for AI and Data Science
- Overview of Azure AI and Machine Learning Tools
- Deploying Machine Learning Models with Azure Machine Learning
- Data Management using Azure Storage and Cosmos DB
- Understanding Azure Cognitive Services
- Hands-on Session: Implementing a Data Science Solution
Day 4: Google Cloud Platform (GCP) for AI and Data Science
- Getting Started with GCP and AI Platform
- Data Engineering using BigQuery and Google Cloud Storage
- Model Deployment and Monitoring in GCP AI Platform
- Using TensorFlow and AI Hub for Model Development
- Practical Exercise: Analyzing Datasets on GCP
Day 5: Integrating and Optimizing Cloud Services for AI
- Strategy for Multi-Cloud AI and Data Science Solutions
- Advanced Topics: Machine Learning Ops (MLOps)
- Optimizing Cost and Performance in Cloud Platforms
- Case Studies: Success Stories and Best Practices
- Final Project: Designing a Comprehensive Cloud-Based AI Application
Upcoming Sessions
| Location | Price | Dates | Action |
|---|---|---|---|
Kuala Lumpur(Malaysia) | $6,000 | Mar 08, 2026 → Mar 12, 2026 | |
London(United Kingdom) | $7,500 | Mar 08, 2026 → Mar 12, 2026 | |
Dubai(United Arab Emirates) | $5,000 | Mar 08, 2026 → Mar 12, 2026 | |
Kuala Lumpur(Malaysia) | $6,000 | Mar 15, 2026 → Mar 19, 2026 | |
London(United Kingdom) | $7,500 | Mar 15, 2026 → Mar 19, 2026 | |
Dubai(United Arab Emirates) | $5,000 | Mar 15, 2026 → Mar 19, 2026 | |
Kuala Lumpur(Malaysia) | $6,000 | Mar 22, 2026 → Mar 26, 2026 | |
London(United Kingdom) | $7,500 | Mar 22, 2026 → Mar 26, 2026 | |
Dubai(United Arab Emirates) | $5,000 | Mar 22, 2026 → Mar 26, 2026 | |
Kuala Lumpur(Malaysia) | $6,000 | Mar 29, 2026 → Apr 02, 2026 |
Related Courses
Artificial Intelligence and Data Science Training Courses
Time Series Analysis for Data Science
Master time series analysis with this 5-day course. Explore concepts, models, and software, applying techniques to real-world data for forecasts and trends.
Artificial Intelligence and Data Science Training Courses
Reinforcement Learning and Adaptive Systems
Join this immersive five-day course to master Reinforcement Learning and Adaptive Systems. Explore algorithms, tools, and real-world applications for dynamic learning.
Artificial Intelligence and Data Science Training Courses
Real-Time Data Analytics and Stream Processing
Master real-time data analytics and stream processing with hands-on workshops, popular frameworks, and practical applications to generate actionable insights.