Cloud AI Engineer Roadmap
AWS | AZURE | GCP
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Azure Fundamentals
Watch Now
- Core Services
- Resource Management
- Storage Solutions
- Virtual Machines
- Network Services
- Identity Management
- Compliance Standards
- Cost Management
- Performance Monitoring
- Cognitive Services
- 9h 15m
AWS Fundamentals
Watch Now
- Global Infrastructure
- Elastic Compute
- Object Storage
- Database Services
- Security Practices
- Networking Basics
- Management Tools
- Auto Scaling
- AWS Lambda
- Cost Optimization
- 9h 15m
GCP Fundamentals
Watch Now
- Core Infrastructure
- Compute Engine
- Data Analytics
- Machine Learning
- Identity Security
- Network Architecture
- Storage Options
- Kubernetes Engine
- Big Data
- API Management
- 9h 15m
Azure AI Services
Watch Now
- Azure Machine Learning Studio
- Cognitive Services
- Bot Services
- Azure Databricks
- Knowledge Mining with Azure Search
- Personalizer
- Anomaly Detector
- Computer Vision
- Azure AI Gallery
- Form Recognizer
- 9h 15m
AWS AI Services
Watch Now
- SageMaker: Model Scalability
- Rekognition: Visual Intelligence
- Comprehend: Textual Insights
- Polly: Speech Synthesis
- Translate: Language Translation
- Lex: Conversational AI
- Forecast: Predictive Forecasting
- Textract: Document Extraction
- 9h 15m
Google AI Services
Watch Now
- Google Platform: Development Integration
- AutoML: Training Automation
- TensorFlow: Cloud Integration
- AI Hub: Collaborative Sharing
- Language API: Textual Analysis
- Vision AI: Image Insight
- Recommendations AI: Personalized Suggestions
- Video AI: Metadata Extraction
- 9h 15m
AWS Fundamentals
Watch Now
- Global Infrastructure
- Elastic Compute
- Object Storage
- Database Services
- Security Practices
- Networking Basics
- Management Tools
- Auto Scaling
- AWS Lambda
- Cost Optimization
- 9h 15m
GCP Fundamentals
Watch Now
- Core Infrastructure
- Compute Engine
- Data Analytics
- Machine Learning
- Identity Security
- Network Architecture
- Storage Options
- Kubernetes Engine
- Big Data
- API Management
- 9h 15m
Azure AI Services
Watch Now
- Azure Machine Learning Studio
- Cognitive Services
- Bot Services
- Azure Databricks
- Knowledge Mining with Azure Search
- Personalizer
- Anomaly Detector
- Computer Vision
- Azure AI Gallery
- Form Recognizer
- 9h 15m
AWS AI Services
Watch Now
- SageMaker: Model Scalability
- Rekognition: Visual Intelligence
- Comprehend: Textual Insights
- Polly: Speech Synthesis
- Translate: Language Translation
- Lex: Conversational AI
- Forecast: Predictive Forecasting
- Textract: Document Extraction
- 9h 15m
Google AI Services
Watch Now
- Google Platform: Development Integration
- AutoML: Training Automation
- TensorFlow: Cloud Integration
- AI Hub: Collaborative Sharing
- Language API: Textual Analysis
- Vision AI: Image Insight
- Recommendations AI: Personalized Suggestions
- Video AI: Metadata Extraction
- 9h 15m
Azure Fundamentals
Watch Now
- Core Services
- Resource Management
- Storage Solutions
- Virtual Machines
- Network Services
- Identity Management
- Compliance Standards
- Cost Management
- Performance Monitoring
- Cognitive Services
- 9h 15m
GCP Fundamentals
Watch Now
- Core Infrastructure
- Compute Engine
- Data Analytics
- Machine Learning
- Identity Security
- Network Architecture
- Storage Options
- Kubernetes Engine
- Big Data
- API Management
- 9h 15m
Azure AI Services
Watch Now
- Azure Machine Learning Studio
- Cognitive Services
- Bot Services
- Azure Databricks
- Knowledge Mining with Azure Search
- Personalizer
- Anomaly Detector
- Computer Vision
- Azure AI Gallery
- Form Recognizer
- 9h 15m
AWS AI Services
Watch Now
- SageMaker: Model Scalability
- Rekognition: Visual Intelligence
- Comprehend: Textual Insights
- Polly: Speech Synthesis
- Translate: Language Translation
- Lex: Conversational AI
- Forecast: Predictive Forecasting
- Textract: Document Extraction
- 9h 15m
Google AI Services
Watch Now
- Google Platform: Development Integration
- AutoML: Training Automation
- TensorFlow: Cloud Integration
- AI Hub: Collaborative Sharing
- Language API: Textual Analysis
- Vision AI: Image Insight
- Recommendations AI: Personalized Suggestions
- Video AI: Metadata Extraction
- 9h 15m
Azure Fundamentals
Watch Now
- Core Services
- Resource Management
- Storage Solutions
- Virtual Machines
- Network Services
- Identity Management
- Compliance Standards
- Cost Management
- Performance Monitoring
- Cognitive Services
- 9h 15m
AWS Fundamentals
Watch Now
- Global Infrastructure
- Elastic Compute
- Object Storage
- Database Services
- Security Practices
- Networking Basics
- Management Tools
- Auto Scaling
- AWS Lambda
- Cost Optimization
- 9h 15m
Azure AI Services
Watch Now
- Azure Machine Learning Studio
- Cognitive Services
- Bot Services
- Azure Databricks
- Knowledge Mining with Azure Search
- Personalizer
- Anomaly Detector
- Computer Vision
- Azure AI Gallery
- Form Recognizer
- 9h 15m
AWS AI Services
Watch Now
- SageMaker: Model Scalability
- Rekognition: Visual Intelligence
- Comprehend: Textual Insights
- Polly: Speech Synthesis
- Translate: Language Translation
- Lex: Conversational AI
- Forecast: Predictive Forecasting
- Textract: Document Extraction
- 9h 15m
Google AI Services
Watch Now
- Google Platform: Development Integration
- AutoML: Training Automation
- TensorFlow: Cloud Integration
- AI Hub: Collaborative Sharing
- Language API: Textual Analysis
- Vision AI: Image Insight
- Recommendations AI: Personalized Suggestions
- Video AI: Metadata Extraction
- 9h 15m
Big 3 Cloud AI Engineer Level Achieved!
Cloud AI Engineer
Average Salary
$1,37,911 year
Concept BASED Learning
Frequently Asked Questions
The Cloud AI Engineer Roadmap is a step-by-step learning path that teaches learners how to design, deploy, and manage AI solutions on Azure, AWS, and Google Cloud Platform (GCP). It includes cloud fundamentals, advanced AI services, and hands-on implementation of AI applications.
This roadmap is ideal for software engineers, data scientists, IT professionals, and anyone who is aspiring to become a cloud-based AI expert. Whether you are a beginner or looking to boost your skills in cloud computing and AI, this program is designed for you.
Just a basic understanding of Python programming and foundational knowledge of machine learning. Don't worry, even if you are a beginner—this cloud ai career guide covers the basics and moves on to advanced AI and cloud concepts.
You'll master:
- Azure Machine Learning Studio
- AWS SageMaker
- Google AutoML
- Cloud-based AI deployment strategies, cost management, and security best practices
- Hands-on projects to build practical AI solutions
It takes 6 to 7 months to complete, based on your learning pace. It allows flexible study schedules while covering a vast range of topics.
Absolutely! This cloud ai engineer roadmap includes real-world AI projects that help you gain hands-on experience in deploying AI models using cloud services like Azure, AWS, and GCP.
You'll get:
- Mentorship from industry experts
- Access to a peer community
- Weekly technical calls
- Regular webinars and guest lectures
The program is online, with:
- Live interactive sessions
- On-demand video tutorials
- Comprehensive reading materials
- Real-time discussions with mentors
You will receive an industry-recognized certification from BotCampus AI, which proves your expertise in cloud AI engineering and improves your professional portfolio.
Just visit the Cloud AI Engineer Roadmap page, select your plan, and start your journey to become a certified Cloud AI Engineer!
