About Cloud + AI Computing
Cloud + AI Computing focuses on building intelligent applications by leveraging modern cloud
technologies combined with powerful Artificial Intelligence solutions.
This course offers in-depth training on cloud platforms like AWS, Azure, and Google Cloud, while
introducing essential AI services such as model training, deployment, automation, and data
intelligence.
Designed for cloud engineers, AI developers, and IT professionals, the course connects cloud
architecture with real-world AI implementations.
Led by industry experts with hands-on experience, the course covers topics such as serverless
computing, high-performance infrastructure, GPU acceleration, and real-time AI integration.
Learners will acquire the skills to develop scalable, intelligent systems capable of handling
complex AI workloads across cloud environments.
Cloud + AI Computing Course Objectives
You will be expertise and eligible for:
- Design and manage cloud environments tailored for AI-powered applications
- Build, train, and deploy machine learning models on cloud platforms such as AWS, Azure, and
GCP
- Utilize scalable storage, networking, and GPU resources for performance-intensive AI tasks
- Incorporate AI technologies like NLP, vision, and automation into cloud-based solutions
- Implement MLOps practices with Docker, Kubernetes, and CI/CD to streamline AI workflows
- Create intelligent, cloud-native applications with real-time processing and data-driven
decision-making
Pre-Requisites
The course is suitable for any IT professional, developer, or AI enthusiast with a basic
understanding of:
- Computer and internet fundamentals
- Basic programming (Python or Bash scripting preferred – not mandatory)
- Cloud computing or virtualization basics (helpful but not required)
Duration of the Course
- "L" understands the challenges like security, time limitations, and location that prevent
many learners from attending traditional classes.
- Duration of 45 sessions.
- 1 hour per day.
- Provides soft copy of every class after its completion.
- Provides class recording sessions.