BIG 3 Cloud Engineer
Roadmap
Trusted by
You Know
Azure Fundamentals
- Core Services
- Resource Management
- Storage Solutions
- Virtual Machines
- Network Services
- Identity Management
- Compliance Standards
- Cost Management
- Performance Monitoring
- Cognitive Services
- 9h 15m
AWS Fundamentals
- Global Infrastructure
- Elastic Compute
- Object Storage
- Database Services
- Security Practices
- Networking Basics
- Management Tools
- Auto Scaling
- AWS Lambda
- Cost Optimization
- 9h 15m
GCP Fundamentals
- Core Infrastructure
- Compute Engine
- Data Analytics
- Machine Learning
- Identity Security
- Network Architecture
- Storage Options
- Kubernetes Engine
- Big Data
- API Management
- 9h 15m
Dev Ops Fundamentals
- Continuous Integration
- Cognitive Services
- Infrastructure Code
- Configuration Management
- Container Orchestration
- Microservices Deployment
- Monitoring Tools
- Cloud Automation
- Version Control
- Security Practices
- 9h 15m
Multi-Cloud Strategies
- Cloud Interoperability
- Data Migration
- Application Portability
- Security Alignment
- Compliance Coordination
- Cost Management
- Best Practices
- Vendor Lock-in
- Scalable Architectures
- Disaster Recovery
- 9h 15m
Certification Preparation
- Exam Strategies
- Study Resources
- Practice Tests
- Core Concepts
- Time Management
- Troubleshooting Scenarios
- Peer Discussions
- Exam Review
- Certification Benefits
- Continuing Education
- 9h 15m
AWS Fundamentals
- Global Infrastructure
- Elastic Compute
- Object Storage
- Database Services
- Security Practices
- Networking Basics
- Management Tools
- Auto Scaling
- AWS Lambda
- Cost Optimization
- 9h 15m
GCP Fundamentals
- Core Infrastructure
- Compute Engine
- Data Analytics
- Machine Learning
- Identity Security
- Network Architecture
- Storage Options
- Kubernetes Engine
- Big Data
- API Management
- 9h 15m
Dev Ops Fundamentals
- Continuous Integration
- Cognitive Services
- Infrastructure Code
- Configuration Management
- Container Orchestration
- Microservices Deployment
- Monitoring Tools
- Cloud Automation
- Version Control
- Security Practices
- 9h 15m
Multi-Cloud Strategies
- Cloud Interoperability
- Data Migration
- Application Portability
- Security Alignment
- Compliance Coordination
- Cost Management
- Best Practices
- Vendor Lock-in
- Scalable Architectures
- Disaster Recovery
- 9h 15m
Certification Preparation
- Exam Strategies
- Study Resources
- Practice Tests
- Core Concepts
- Time Management
- Troubleshooting Scenarios
- Peer Discussions
- Exam Review
- Certification Benefits
- Continuing Education
- 9h 15m
Azure Fundamentals
- Core Services
- Resource Management
- Storage Solutions
- Virtual Machines
- Network Services
- Identity Management
- Compliance Standards
- Cost Management
- Performance Monitoring
- Cognitive Services
- 9h 15m
GCP Fundamentals
- Core Infrastructure
- Compute Engine
- Data Analytics
- Machine Learning
- Identity Security
- Network Architecture
- Storage Options
- Kubernetes Engine
- Big Data
- API Management
- 9h 15m
Dev Ops Fundamentals
- Continuous Integration
- Cognitive Services
- Infrastructure Code
- Configuration Management
- Container Orchestration
- Microservices Deployment
- Monitoring Tools
- Cloud Automation
- Version Control
- Security Practices
- 9h 15m
Multi-Cloud Strategies
- Cloud Interoperability
- Data Migration
- Application Portability
- Security Alignment
- Compliance Coordination
- Cost Management
- Best Practices
- Vendor Lock-in
- Scalable Architectures
- Disaster Recovery
- 9h 15m
Certification Preparation
- Exam Strategies
- Study Resources
- Practice Tests
- Core Concepts
- Time Management
- Troubleshooting Scenarios
- Peer Discussions
- Exam Review
- Certification Benefits
- Continuing Education
- 9h 15m
Azure Fundamentals
- Core Services
- Resource Management
- Storage Solutions
- Virtual Machines
- Network Services
- Identity Management
- Compliance Standards
- Cost Management
- Performance Monitoring
- Cognitive Services
- 9h 15m
AWS Fundamentals
- Global Infrastructure
- Elastic Compute
- Object Storage
- Database Services
- Security Practices
- Networking Basics
- Management Tools
- Auto Scaling
- AWS Lambda
- Cost Optimization
- 9h 15m
Dev Ops Fundamentals
- Continuous Integration
- Cognitive Services
- Infrastructure Code
- Configuration Management
- Container Orchestration
- Microservices Deployment
- Monitoring Tools
- Cloud Automation
- Version Control
- Security Practices
- 9h 15m
Multi-Cloud Strategies
- Cloud Interoperability
- Data Migration
- Application Portability
- Security Alignment
- Compliance Coordination
- Cost Management
- Best Practices
- Vendor Lock-in
- Scalable Architectures
- Disaster Recovery
- 9h 15m
Certification Preparation
- Exam Strategies
- Study Resources
- Practice Tests
- Core Concepts
- Time Management
- Troubleshooting Scenarios
- Peer Discussions
- Exam Review
- Certification Benefits
- Continuing Education
- 9h 15m
Big 3 Cloud AI Engineer Level Achieved!
Big 3 AI Engineer
Average Salary
$1,33,877 year
Concept BASED Learning
Frequently Asked Questions
The Cloud AI Engineer Path is a specialized training program designed to equip participants with the skills needed to implement AI solutions in cloud environments. It covers cloud infrastructure, AI services across major cloud platforms – Azure, AWS and GCP, and best practices for deploying and managing AI applications in the cloud.
This path is ideal for IT professionals, software developers, system administrators, and anyone with a basic understanding of programming and cloud computing who is interested in specializing in AI applications on cloud platforms. It's particularly beneficial for those looking to enhance their expertise in integrating AI with cloud technologies for scalable solutions.
Participants should have fundamental programming knowledge and a basic understanding of cloud computing concepts. The course is structured to build on these foundations, introducing participants to advanced topics in cloud-based AI.
You will learn about cloud computing fundamentals, AI service integration, and managing AI deployments in a cloud environment. The curriculum includes hands-on experience with AWS, Azure, and Google Cloud Platform, focusing on how to leverage their AI services for practical applications. You’ll also cover topics such as data security, compliance, and optimizing AI applications for cost and performance in the cloud.
The path typically takes 3 to 5 months to complete, depending on your pace of study and previous experience.
Yes, the path includes practical projects designed to give you hands-on experience with cloud-based AI solutions. These projects help you apply what you’ve learned in real-world scenarios, building a robust portfolio of cloud AI skills.
Participants receive ongoing support through mentorship sessions with industry experts, access to technical assistance, and peer collaboration forums. Regular interactive webinars and live Q&A sessions are also provided to enhance learning and address participants' queries in real-time.
The program is delivered online through a mix of live interactive sessions and self-paced learning materials, including video tutorials and reading resources, offering flexibility to accommodate different learning paces and schedules.
Upon successful completion, you will receive a certification from BotCampus AI, recognizing your skills as a Cloud AI Engineer. This certification is valuable for professional growth and credibility in the field of AI and cloud computing.
Enrollment is straightforward via the BotCampus AI website. Simply visit the Enrollment page, choose the Cloud AI Engineer Path, and follow the provided instructions to register.
