Course Information

Why Choose Garranto Academy for Your Cloud Computing Foundation Certification (CCF) Training?

Choose Garranto Academy for your Cloud Computing Foundation Certification (CCF) training and benefit from expert-led instruction, hands-on exercises, and real-world case studies tailored to today's industry demands. Our curriculum is designed by practitioners with deep Cloud Computing and Artificial Intelligence expertise, ensuring you gain immediately applicable skills backed by globally recognised frameworks.

Course Overview

Cloud Computing Foundation Certification (CCF) provides essential knowledge of cloud concepts, services, deployment models, and benefits.

Course Objectives

Understand the intersection of cloud computing and AI/ML workloads.
Deploy and manage AI models on cloud platforms.
Evaluate cloud AI services: AWS SageMaker, Azure ML, Google Vertex AI.
Optimise AI infrastructure for cost, performance, and scalability.
Apply MLOps practices in cloud environments.
Govern AI workloads for compliance and security in the cloud.

Prerequisites

Basic understanding of cloud computing concepts.
Familiarity with AI/ML concepts.
Some programming experience (Python preferred).

Course Outlines

Module 1: Cloud Infrastructure for AI

GPU, TPU, and specialised AI compute resources
Storage and data pipeline architecture for ML workloads
Cost optimisation strategies for AI/ML infrastructure

Module 2: Cloud AI & ML Services

Managed ML platforms: SageMaker, Azure ML, Vertex AI
Pre-built AI APIs: vision, speech, NLP, and translation
Choosing managed services vs custom model development

Module 3: MLOps on the Cloud

Model training, experiment tracking, and version control
CI/CD pipelines for ML model deployment
Model monitoring, drift detection, and retraining

Module 4: AI Workload Security & Governance

Securing ML pipelines and model endpoints
Data privacy and regulatory compliance for AI workloads
Responsible AI deployment in cloud environments

Module 5: Capstone: Cloud AI Architecture

Designing an end-to-end cloud AI solution
Architecture review and optimisation workshop
Presenting cloud AI proposals to stakeholders

Course Outcomes

Deploy AI/ML workloads on cloud platforms efficiently.
Implement MLOps pipelines for reliable model lifecycle management.
Select and use cloud AI managed services appropriately.
Secure and govern AI workloads in cloud environments.
Design scalable, cost-effective cloud AI architectures.

Benefits of Cloud Computing Foundation Certification (CCF)

Completing the Cloud Computing Foundation Certification (CCF) programme at Garranto Academy equips you with in-demand competencies, enhances your professional credibility, and accelerates career growth. Participants gain practical experience, access to a peer network of professionals, and the confidence to apply new knowledge directly in their organisations.

What You'll Learn

Practical hands-on experience

Industry-recognized certification

Real-world case studies

Expert-led live sessions

Comprehensive study materials

Post-training support

Facilities & Equipment

Virtual Training

Electronic materials
IT support for software & hardware
Administrative support

Face-to-Face Training

Air-conditioned classroom
Meals & refreshments provided
Projector & smart board
Stationery provided

Cloud Computing Foundation Certification (CCF)