Certified Cloud AI Specialist Certification Training

Become Cloud AI Specialist

Designed for cloud, AI, and security professionals building and deploying AI workloads on cloud platforms

Covers AI integration and architecture across AWS and Azure, including Bedrock and Azure AI Studio

Focuses on securing AI workloads with DevSecOps and cloud security best practices

Supports career transition and certification readiness for Azure AI Engineer and AWS ML Specialty

About Course

InfosecTrain's Certified Cloud AI Specialist course teaches professionals how to integrate AI into cloud environments using AWS and Azure. Participants will learn how cloud platforms leverage AI/ML to automate workflows, improve scalability, enhance security, and enable intelligent applications. Through hands-on labs, learners will build ML models, use cloud AI services, deploy resources using prompts, and understand key AI governance principles. This program is ideal for anyone seeking to master AI-driven cloud architecture and automation.

Course Curriculum

MODULE 1

Introduction to Cloud Computing

Cloud Computing Overview (IaaS, PaaS, SaaS, FaaS)
Deployment Models (Public, Private, Hybrid, Multi-cloud)
Cloud Benefits: Scalability, Flexibility, Cost-Optimization
Cloud Security & Shared Responsibility Model
Cloud Accounts Setup: Free Tier (AWS & Azure)

MODULE 2

Introduction to AI/ML

AI vs ML vs Neural Networks vs Deep Learning
Supervised, Unsupervised & Reinforcement Learning
Predictive AI vs Generative AI
Data Preprocessing & Model Development Lifecycle
Evaluation Metrics (Accuracy, Confusion Matrix, Classification Report)
Responsible AI & Ethics
Developing an ML Model

MODULE 3

ML Services in AWS

AWS ML Services Overview
Amazon Rekognition (Vision)
Amazon Comprehend (NLP)
Amazon Polly (Text-to-Speech)
Amazon Lex (Chatbots)
Deploy Image Recognition Using Rekognition (Practical)
Use SageMaker to Deploy LLM Model
Deploying Resource (EC2, S3) Using Prompt

MODULE 4

Generative AI Services in AWS

What is Bedrock and Its Pricing
Understanding Bedrock Agent
Foundation Model in Bedrock
What is Automatic Evaluation of the Model
Understanding GuardRails and Its Importance

MODULE 5

Prompt Engineering and Amazon Q

Prompt Engineering
- What is Prompt Engineering
- Performing Prompt Performance Optimization
- Prompt Engineering Techniques
- What are Prompt Templates and How to Use Them
Amazon Q
- What is Amazon Q
- Amazon Q Business
- Amazon Q Apps
- Amazon Q Developer
- Amazon Q for other Services

MODULE 6

AI and ML in Azure

Microsoft Guiding Principles for Responsible AI on Different Parameters (Accountability, Privacy etc.)
Understand Cost Manageme
Create a Machine Learning Workspace
Touring the ML Studio
Creating an ML Model in the Azure
Deploying the Resource (VM, Storage Account) Using the Prompt
Understanding the AI Vision Services - Use Case and Working
Playing with Vision Studio
Understand Computer Vision and Use Case
Calling the computer Vision API
Understand the Difference Between Chat GPT & OpenAI Platform
Understand Azure AI Foundry, its Token Usages and Use Cases

Target Audience

Professionals with a background in cloud computing or AI fundamentals

Solution Architects and Cloud Engineers looking to integrate AI services within cloud platform

Data Scientists, Machine Learning Engineers, and AI Developers interested in deploying models on cloud environments

Security Analysts and DevSecOps professionals aiming to secure AI workloads in the cloud

Anyone preparing for Cloud AI certifications such as Azure AI Engineer or AWS Machine Learning Specialty

Professionals who want to build or transition their careers into AI-driven Cloud Architecture and Automation

Anyone wishing to gain hands-on experience with cloud-based AI services like AWS Bedrock and Azure AI Studio

Course Objectives

Master AI & ML services on AWS and Azure

Automate cloud workflows using AI prompts

Build AI-enabled cloud solutions for real enterprise use

Understand AI governance, costs, and secure deployments

Be prepared for Cloud AI certification exams

Words Have Power

Waseem Akram Fareed

Canada

I have pursued CISSP, CRISC, and CISM from InfosecTrain. InfosecTrain is my default option when I think about any cybersecurity certification. The trainer's dedication and sincerity towards his classes is something that inspires me a lot personally. You will get 100 percent from InfosecTrain for whichever course you want to pursue. Especially the trainers are outstanding.

Fuzail Ahmed Lohare

UAE

The trainer was very good, with good knowledge and skills to share, and he handled the session with patience. I really enjoyed the training. Selecting InfosecTrain is always a good choice for me. The sales team is very supportive and helped me on this journey.

Rudraram Sai Kiran

United Kingdom

The trainer is a great presenter/tutor and teaches in a relaxing manner. His sense of humor and honesty about the task ahead for the newbie help make the challenging subject matter accessible. Thank you very much! I had been looking forward to this workshop for weeks, and it exceeded my expectations! I have learned a lot.

Jatin Tandon

Very detailed and organized training, as always, by the best instructors at InfosecTrain. Will come back for more courses after completing my certification.

Yamna Taouss

Morocco

It was an interesting training that could help me succeed in obtaining certificates. I am truly thankful to InfosecTrain for an amazing training. Looking forward to attending more sessions with InfosecTrain.

Certified Cloud AI Specialist Certification Training

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About Course