What you will learn?
Understand key AI concepts and technologies such as Machine Learning, Deep Learning, and Generative AI.
Recognize AI opportunities and use cases within their projects.
Understand the AI/ML project lifecycle from an architect's perspective.
Identify suitable AI services for different solution requirements (AWS, GCP, Azure).
Integrate AI services effectively within various architectures.
Implement best practices for data management and privacy in AI projects.
Target Audience
Solutions Architects
Technical Leads
IT professionals involved in designing and implementing technical solutions
Anyone seeking to understand how AI can be leveraged in solution designs
About this course
The AI for Solutions Architects course is designed to provide customer-facing professionals with a foundational understanding of key artificial intelligence (AI) concepts, services, and practical approaches for incorporating AI into solution designs. Tailored for Solutions Architects, Technical Leads, and anyone involved in designing and implementing technical solutions, this course enables participants to identify AI opportunities, communicate effectively with AI/ML teams, and incorporate AI in their projects.
This vendor-agnostic course will cover AI services across leading cloud platforms such as AWS, GCP, and Azure, as well as emerging Generative AI solutions like ChatGPT, Gemini, Claude, and CoPilot. By the end of the course, participants will have a solid grasp of the AI/ML project lifecycle, including the process of problem framing, data preparation, model deployment, and integration into existing systems. Additionally, the course provides insight into how to leverage AI services like image recognition, natural language processing, and forecasting, and introduces best practices for integrating AI into real-world solutions.
The course also includes practical exercises and discussions to help participants brainstorm potential AI applications within various industries, such as e-commerce, healthcare, and customer service.
Requirements
Basic knowledge of cloud computing and solution architecture.
Familiarity with programming concepts and IT infrastructure is recommended, but not mandatory.
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