AI Powered Course
InfosecTrain’s Certified Cloud AI Specialist Certification Training
Become Cloud AI Specialist
Program Highlights
InfosecTrain’s Certified Cloud AI Specialist program empowers learners with the skills needed to design, deploy, automate, and secure AI workloads across leading cloud platforms.
This training blends cloud fundamentals, machine learning concepts, AI governance, AWS AI services, Azure AI workloads, LLM-based automation, and hands-on labs; ensuring participants become job-ready for modern cloud AI roles.
32-Hour Instructor-led Training 
Cloud Fundamentals → AI/ML Essentials → AWS AI → Azure AI 
Hands-on Labs with AWS Bedrock, Rekognition, SageMaker & Azure AI Studio 
Cloud Automation using Prompts (Deploy EC2/VM, Storage, AI Services) 
Generative AI Use Cases & Responsible AI Best Practice 
Real-world Projects & Enterprise Scenarios 
Immersive AI Learning 
Mentoring & Post-training Support 
Access to Recorded Sessions
Training Schedule
- upcoming classes
- corporate training
- 1 on 1 training
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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.
- 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
- Prompt Engineering
- 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
- 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
- Basic understanding of cloud computing concepts
- Familiarity with AWS or Azure console
By the end of the training, participants will:
- 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
How We Help You Succeed
Vision
Goal
Skill-Building
Mentoring
Direction
Support
Success
Benefits of InfosecTrain’s Certified Cloud AI Specialist Training
Learn AI-driven cloud workflows for enterprise environments
Hands-on experience with AWS and Azure AI tools
Build ML & GenAI projects in real cloud setups
Gain confidence for cloud AI roles and certifications
Implement secure, scalable, and governed AI deployments
Average Salary
Average Salary
Hiring Companies
"Source: Indeed, Glassdoor"
Confused about the right course for yourself?
Words Have Power
It was a very good experience with the team. The class was clear and understandable, and it benefited me in learning all the concepts and gaining valuable knowledge.
I loved the overall training! Trainer is very knowledgeable, had clear understanding of all the topics covered. Loved the way he pays attention to details.
I had a great experience with the team. The training advisor was very supportive, and the trainer explained the concepts clearly and effectively. The program was well-structured and has definitely enhanced my skills in AI. Thank you for a wonderful learning experience.
The class was really good. The instructor gave us confidence and delivered the content in an impactful and easy-to-understand manner.
The program helped me understand several areas I was unfamiliar with. The instructor was exceptionally skilled and confident in delivering content.
The program was well-structured and easy to follow. The instructor’s use of real-life AI examples made it easier to connect with and understand the concepts.
Success Speaks Volumes
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Frequently Asked Questions
What is the Certified Cloud AI Specialist Training Course?
The Certified Cloud AI Specialist Training Course is a hands-on program designed to teach professionals how to integrate AI and machine learning capabilities into cloud environments using AWS and Azure. The course covers cloud fundamentals, ML concepts, Generative AI, AI services in AWS Bedrock and Azure AI Studio, prompt engineering, automation, and real-world cloud AI projects.
Why should I enroll in the Certified Cloud AI Specialist Certification Training?
This course is ideal for:
- Cloud Professionals
- Solution Architects & Cloud Engineers
- Data Scientists & ML Engineers
- AI Developers working with cloud platforms
- Security Analysts & DevSecOps teams
- Professionals preparing for AWS/Azure AI certifications
- Anyone transitioning into AI-driven Cloud Architecture
- Anyone seeking hands-on experience with AWS Bedrock & Azure AI Studio
What skills will I learn in the Cloud AI Specialist Certification Course?
You will learn:
- Cloud fundamentals (AWS and Azure)
- AI, ML, neural networks, and Generative AI concepts
- How to deploy ML and LLM models on cloud platforms
- Using AWS services like Bedrock, Rekognition, SageMaker, Comprehend, Polly & Lex
- Using Azure services like AI Studio, Vision Services & OpenAI
- Prompt engineering and AI-driven cloud automation
- Deploying cloud resources using prompts
- Responsible AI & governance principles
- Building end-to-end cloud AI projects
Does the Cloud AI Specialist Training require prior AI or cloud experience?
No advanced experience is required. A basic understanding of cloud computing and familiarity with AWS or Azure consoles is recommended. No prior AI or machine learning experience is needed.
What topics are covered in the Cloud AI Specialist Certification Training?
The training covers:
- Cloud computing models and security
- AI/ML foundations and model development
- AWS ML services (Rekognition, Comprehend, Lex, Polly)
- AWS Bedrock & Generative AI
- Prompt engineering & Amazon Q
- Azure ML Studio, Vision Services & Azure AI Foundry
- Cloud automation using prompts
- AI governance, responsible AI, and ethics
- Real-world cloud AI labs and projects
Which cloud platforms are included in the Cloud AI Specialist Course (AWS, Azure, GCP)?
This course focuses on AWS and Azure, covering their AI, ML, and cloud automation services in depth. GCP is not included in this version of the program.
How does this Cloud AI Specialist Certification prepare me for AI-enabled cloud jobs?
The course provides hands-on experience with real cloud AI workloads, ML model deployment, prompt-based automation, LLM integrations, vision services, Bedrock and Azure AI Studio. You gain practical skills used by modern cloud AI teams, making you job-ready for roles like Cloud AI Engineer, Cloud Solutions Architect (AI), and ML Engineer on cloud platforms.
Does the Certified Cloud AI Specialist Course offer hands-on labs and real-world projects?
Yes. Every module includes labs and practical exercises.
How does the Certified Cloud AI Specialist Training improve cloud automation skills?
This course teaches you how to automate cloud workflows using AI prompts, Amazon Q, and Azure AI tools. You learn how to deploy cloud resources (VMs, EC2, storage accounts, S3 buckets) using natural language prompts, significantly reducing operational effort and improving efficiency.
Will this Cloud AI Specialist Certification help in AI security and governance roles?
Yes. The training covers responsible AI principles, AI governance, ethics, GuardRails in AWS Bedrock, cost management, privacy guidelines, and secure cloud deployment practices—skills essential for AI governance and secure AI adoption.
Does InfosecTrain provide post-training support for the Cloud AI Specialist Certification?
Yes. InfosecTrain offers ongoing mentoring, access to recorded sessions, doubt-clearing assistance, and support throughout your certification preparation.
What job roles can I pursue after completing the Certified Cloud AI Specialist Course?
You can pursue roles such as:
- Cloud AI Specialist
- Cloud ML Engineer
- AI Solutions Architect
- Cloud Engineer (AI-enabled)
- AI Automation Engineer
- Azure AI Engineer
- AWS AI/ML Specialist
How do I enroll in the Certified Cloud AI Specialist Certification Training with InfosecTrain?
To enroll in the Certified Cloud AI Specialist Certification Training at InfosecTrain:
- Visit the InfosecTrain website, www.infosectrain.com, and navigate the Certified Cloud AI Specialist Certification Training course page.
- Fill out the registration form.
- You will receive a confirmation email with further instructions.
- Book your free demo with the Expert.
