Certified Cloud AI Solutions Architect CCASA Domain1 AIML Fundamentals
in Artificial IntelligenceWhat you will learn?
Define and differentiate between AI, ML, and Deep Learning, and understand their real-world applications.
Explain machine learning paradigms and emerging AI types such as Generative, Predictive, and Agentic AI.
Evaluate the business value, benefits, and challenges of implementing AI/ML solutions.
Identify key players, platforms, and trends within the cloud-based AI/ML ecosystem.
Target Audience
Cloud solutions architects and presales professionals aiming to deepen AI/ML expertise.
Technology strategists and consultants designing AI-integrated cloud solutions.
IT professionals and developers transitioning into AI/ML-focused architecture roles.
Business and technical leaders seeking to understand AI’s impact on digital transformation.
About this course
The Certified Cloud AI Solutions Architect (CCASA) – AI/ML Fundamentals course is designed to empower aspiring cloud architects and technology professionals with a deep understanding of artificial intelligence (AI) and machine learning (ML) within modern cloud ecosystems. This course lays the foundation for architecting intelligent, data-driven cloud solutions that align with real-world business needs.
Through engaging, hands-on learning, participants will explore the distinctions and interplay between AI, ML, and Deep Learning, uncovering how these technologies drive innovation across industries such as healthcare, finance, and manufacturing. You’ll learn how machines learn — from supervised and unsupervised learning to reinforcement models — and how emerging trends like Generative AI, Predictive AI, and Agentic AI are redefining automation and intelligence.
The course emphasizes both the technical and strategic perspectives of AI/ML adoption. Learners will gain the ability to articulate the business value of AI/ML solutions, identify opportunities for implementation, and recognize potential challenges and ethical considerations. You’ll also explore the global AI ecosystem, cloud-based AI tools, and vendor platforms shaping the future of intelligent solutions.
As the first domain in the CCASA certification pathway, this course provides a strong foundation for professionals ready to design, evaluate, and advocate for AI-powered cloud architectures.
Requirements
Minimum of one year of cloud computing experience.
Basic understanding of cloud architecture concepts and data-driven technologies.
 AI_ML Fundamentals.png)
