Becoming enabled in AI Security engineering and being able to close the deals with the sales team is a highly paid and sought after skillset.   

AI Enabled Security Sales Engineers/Architects can make $160,320 per year "base" with variables (bonuses and commissions). 

For example: A sales engineer may be offered an 80/20 or a 70/30 split when it comes to base/variable compensation.

• Base - $150,000
• Variable - $30,000

(Not to mention the non-monetary benefits such as customer engagement at trade shows, lunch and learns and company engagement at company sales events.)

Learn about the critical value a highly skilled presales cloud solutions architect can bring to an organization and its customers.

(Beginner/Intermediate) This official Certified Cloud AI Solutions Architect (CCASA) course has been designed for anyone who wants to become a proven presales cloud solutions architect and leader.    

Demand for AI-aware presales and solutions architects has been exponentially growing year over year, and learning about cloud solutions architecture can really elevate your career opportunities in the world of cloud computing technology. 

A presales cloud solutions architect is a technical specialist who develops proposals, technical scope, and pricing models for innovative technical solutions for clients. This role generates revenue for the organization.

Presales solution architects are considered to be the clients' trusted advisors. They are responsible for the technical solutions proposed during the sales cycle. 

Did you know that, in October 2024, the average salary for a Solution Architect in the United States was $162,309 per year, according to Glassdoor?

Entry level solutions architect positions start at $93,026 per year while the most sought-after solutions architects can make over $250,000 per year.

As an AI-enabled solutions architect, you will be on the front lines to propose the right technical requirements to meet client goals and function as a liaison between your sales and engineering groups.

Once you complete this official Certified Cloud AI Solutions Architect (CCASA) certification course, you will be truly prepared to join your organization's highly sought-after solutions architecture experts.

Let us help you get enabled with presales engineering and architecture. So what are you waiting for? Let us get started!

Join this Digital Crest Institute (DCI) course now and elevate your career!

Exam Objectives

Rev 1 (09/10/2025)

The certification exam will test candidates on the following exam objectives.

Certified Cloud AI Security Architect (CCAISA)

Module 1: Foundational Principles of AI & Machine Learning

• Introduction to AI and ML Concepts
• Overview of AI, ML, and Deep Learning
• Core AI Algorithms and Architectures
• AI Lifecycle Management
• Data collection, processing, and labeling
• Model training, validation, and testing
• Deployment, monitoring, and maintenance
• Cloud Computing Fundamentals for AI
• Cloud service models (IaaS, PaaS, SaaS)
• Core cloud services for AI (compute, storage, databases)
• Introduction to AI/ML services on major cloud platforms (AWS, Azure, GCP)

Module 2: AI Security Risks and Vulnerabilities

• Threat Modeling for AI Systems
• Identifying unique attack vectors against AI
• Risk assessment methodologies for AI/ML projects
• Adversarial AI Threats
• Adversarial attacks (evasion, poisoning, model inversion)
• Data poisoning and integrity attacks
• Model theft and intellectual property risks
• Traditional Cybersecurity Risks in AI
• Common vulnerabilities in AI pipelines
• Data privacy and confidentiality concerns
• Supply chain security for ML models and data

Module 3: Secure AI System Design and Architecture

• Securing the AI Development Lifecycle (MLSecOps)
• Secure coding practices for AI applications
• Integrating security into CI/CD pipelines
• Version control and artifact management
• Designing Resilient and Secure Architectures
• Implementing a Zero Trust model for AI systems
• Best practices for secure data pipelines and training environments
• Securing AI APIs and inference endpoints
• Data Protection and Privacy
• Data encryption (at rest and in transit)
• Anonymization and differential privacy techniques
• Federated learning and its security implications

Module 4: Cloud Security Controls for AI

• Cloud Security Best Practices
• Identity and Access Management (IAM) for AI workloads
• Securing cloud storage and databases
• Network security and network segmentation in the cloud
• Monitoring and Incident Response
• Log management and monitoring for AI systems
• Developing an incident response plan for AI-related breaches
• Continuous security posture management

Module 5: Governance, Risk, and Compliance

• AI Governance and Policy
• Developing internal policies for secure AI adoption
• Understanding the ethical implications of AI
• Bias detection and mitigation in AI models
• Regulatory Compliance
• Navigating global AI security and privacy regulations
• Auditing AI systems for compliance
• Understanding the legal and ethical landscape of AI

Successful Candidates will Receive a Digital Certification and a Digital Badge which can be posted and validated online.

A Free Study Guide is also provided online. 

Who should take this course and certification exam. 

• Anyone that is in a technical facing role.
• Anyone that has 1 year of cloud computing experience.
• Anyone that wants to prove they are competent in Cloud AI Security should consider obtaining the CCAISA certification.
• Anyone who wants to learn more about secure AI deployments on cloud platforms.

Vendor Agnostic means that the exam is not tied to the specific products and services of a vendor.

We do cover in the course content specific examples but the test will not solely rely on testing on AWS, GCP, etc. 

The Beta certification itself costs $99.00 USD which includes one free retake if needed.

The Production exam will be priced at $199.00

The Full course and exam package bundle is available for $299.00

Continuing Education is a critical component to ensure that successful candidates maintain their certifications and keep up with changing times around technology.

The CEU requirements will be made available in January 2026 and will require 50 hours of continuing education units (CEU) over 3 years.  Fee will be $50.00.

Yes, both free and paid practice questions will be available on Digital Crest Institute (DCI) and Udemy.

The CCASA certification is valid for three years without Continuing Education. 

The credential will expire unless CE Credits are submitted.  

CE Credit information will be provided 6 months prior to expiration.

Exam is taking online and is not proctored. 

The CCAISA exam is 60 Questions and is timed at 90 Minutes. 

Questions are multiple choice.

Allowance of 15 Minutes is given for nonnative English speakers if requested.

Coaching is available for the CCASA and is discounted on an hourly basis for this exam. 

Contact Us for more information.

Base rates would be $99.00 per hour.

The Certified Cloud AI Security Architect (CCAISA) official exam preparation course (12 hours of content) is available on Digital Crest Institute.