Certified AI Solution Architect Course | AI Solution Architect Certification
NovelVista's Certified AI Solution Architect course takes you from AI fundamentals to enterprise-level architecture. It covers LLMs, RAG, AI agents, cloud deployment, LLMOps, and AI security and governance. With hands-on labs, practice exams and a proctored certification exam, this job-focused training helps you design, secure, deploy and manage real-world AI solutions with confidence.
- 12 Practical Modules with Hands-on Labs
- Real-World Architecture Case Studies
- Portfolio-Ready Capstone Project
- Globally Relevant AI Architect Credential
Course Overview: Certified Ai Solution Architect
The Certified AI Solution Architect course is built for professionals who want to design AI systems, not just experiment with them. Enterprise AI projects rarely fail because the model is wrong. More often, the challenge lies in the architecture around it. This AI Solution Architect Certification bridges that gap by helping you turn AI experiments into reliable, scalable and well-governed production systems.
The AI Solution Architect Training covers the full architecture journey. You will learn AI and machine learning foundations, use case selection, foundation model strategy, solution architecture design, data and knowledge architecture, RAG, model fine-tuning and optimization, agentic and multi-agent AI, deployment and FinOps, LLMOps, and AI security, risk and governance.
Designed for Solution Architects, Cloud Architects, AI Engineers, Technical Leads and Enterprise Architects, this AI Solution Architect course is equally valuable for professionals aspiring to move into AI architecture roles. Every module pairs theory with a hands-on deliverable, so you build and document real architecture work as you learn.
By completing this certification, you will be able to evaluate build vs. buy decisions, design for scalability, governance, cost and reliability, and defend your design choices in front of engineering, security and leadership teams. Unlike theory-heavy programs, this training emphasizes practical application, helping you apply AI architecture concepts directly in your day-to-day role and strengthening your profile for positions such as AI Solution Architect, Cloud Architect, Enterprise Architect and AI Technical Lead.
What You Will Get?
Learning Outcome: Certified AI Solution Architect
After the completion of the course, the participants would be able to:
Training Calendar
English
- Self paced videos, assessments, recall quizzes, more
- For more details, reach us at training@novelvista.com
Includes Training, Exam & Certification
Lifetime Access
- Self paced videos, assessments, recall quizzes, more
- For more details, reach us at training@novelvista.com
Includes Training, Exam & Certification
Course Curriculum: Certified AI Solution Architect Course
The Certified AI Solution Architect course provides a complete understanding of enterprise AI architecture, covering AI foundations, foundation model strategy, RAG, agentic AI, deployment, LLMOps and AI governance. Through practitioner-led training, learners gain practical knowledge of how to design, secure, deploy and manage AI solutions that deliver real business value.
Module 1: AI Foundations for Solution Architects+
- Core AI and ML Concepts: Understand the building blocks of AI and machine learning that every architect must know.
- LLMs and Multimodal Models: Learn how modern language and multimodal models work and where they fit in enterprise solutions.
- Compute Infrastructure: Understand the infrastructure that powers AI systems and the trade-offs involved.
- Role of the AI Solution Architect: Learn the responsibilities, decisions and trade-offs that define the role in an enterprise.
Module 2: Use Case Selection, Feasibility and Data Readiness+
- Opportunity Scoping: Identify and frame AI opportunities that align with business goals.
- Feasibility Scoring: Assess whether a use case is technically and commercially viable.
- Data Readiness Assessment: Evaluate whether the available data can support the intended solution.
- Build, Buy or Partner: Make confident decisions on the right sourcing approach.
Module 3: Foundation Model Strategy and Selection+
- Proprietary vs. Open Models: Understand the strengths and limits of each model type.
- Capability and Context Window Needs: Match model capability to solution requirements.
- Cost, Licensing and Risk: Weigh the trade-offs that affect long-term viability.
- Model Evaluation Framework: Select the right model family for your enterprise instead of defaulting to what is trending.
Module 4: AI Solution Architecture Design+
- Reference Architectures: Learn proven architectures for common AI solution types.
- Reusable Design Patterns: Apply repeatable patterns to speed up delivery.
- Non-Functional Requirements: Design for scalability, security, performance and reliability.
- Architecture Decision Records: Document and defend your design decisions.
Module 5: Data and Knowledge Architecture+
- Data Platforms and Pipelines: Design the data flows that feed AI systems.
- Vector Databases and Embeddings: Understand how semantic search and retrieval are enabled.
- Knowledge Graphs: Learn how structured knowledge improves AI accuracy.
- Governance, Privacy and Access Control: Engineer compliance into the data layer.
Module 6: Retrieval-Augmented Generation Architecture+
- Retrieval Pipeline Architecture: Build the end-to-end flow from query to answer.
- Grounding and Ranking: Improve response accuracy and relevance.
- Freshness Strategies: Keep retrieved knowledge current.
- Access Controls at the Retrieval Layer: Keep enterprise knowledge useful and secure.
Module 7: Model Adaptation, Fine-Tuning and Optimization+
- Prompting, RAG or Fine-Tuning: Choose the right adaptation approach for each use case.
- LoRA Fine-Tuning: Implement efficient fine-tuning techniques.
- Quantization and Distillation: Compress models without losing the performance you need.
- Inference Optimization: Keep performance gains from becoming an unsustainable cost.
Module 8: Agentic and Multi-Agent AI Architecture+
- Agent Planning, Tools and Memory: Design agents that plan, use tools and maintain context.
- Single-Agent Patterns: Understand when and how to use a single agent.
- Multi-Agent Collaboration and Orchestration: Coordinate multiple agents to solve complex tasks.
- Human-in-the-Loop and Trust Boundaries: Keep autonomous systems safe and controllable at scale.
Module 9: Deployment, Integration, Scaling and FinOps+
- Deployment Environments: Deploy across cloud, hybrid, on-premises and edge.
- Integration Patterns: Connect AI solutions with existing enterprise systems.
- Scalability and Resilience Engineering: Build systems that grow and recover reliably.
- Infrastructure Automation and FinOps: Optimize cost and ROI so production AI does not outgrow its budget.
Module 10: LLMOps, Evaluation and Observability+
- Model and Prompt Versioning: Manage changes in a controlled way.
- Automated Evaluation: Measure quality consistently and at scale.
- Monitoring, Tracing and Drift Detection: Catch issues early in production.
- Controlled CI/CD Releases: Release updates safely and predictably.
Module 11: AI Security, Risk and Governance+
- Prompt Injection and Agent Security: Protect AI systems from emerging threats.
- IAM and Guardrails: Control access and enforce safe behavior.
- OWASP-Aligned Risk Management: Apply recognized security guidance to AI systems.
- ISO/IEC 42001, NIST AI RMF and EU AI Act: Translate standards and regulations into controls an architect can implement.
Module 12: Architecture Practice, Strategy and Capstone+
- Stakeholder Communication: Present and defend architecture decisions to technical and business leaders.
- Operating Model Design: Structure teams and processes to support AI at scale.
- AI Strategy and Technology Roadmaps: Align AI initiatives with long-term business goals.
- End-to-End Capstone: Apply everything in an architecture project that mirrors real on-the-job decisions.
Course Details
What Will You Get?+
Intro: This AI Solution Architect training provides complete learning support, hands-on practice, assessments and certification preparation to help professionals confidently build enterprise AI architecture expertise.
1. Comprehensive AI Solution Architect Training
- Structured Learning Modules: Progress through 12 carefully sequenced modules that build from foundational AI concepts to enterprise architecture patterns.
- Videos and Study Materials: Learn through short video lessons, slide decks and downloadable study materials.
- Practical Activities: Every module pairs theory with a hands-on deliverable.
2. Access Details
- Lifetime Access: Revisit modules and resources anytime for revision and skill building.
- Multi-Device Learning: Learn from desktop, laptop, tablet or mobile.
- Flexible Learning: Study at your own pace, around your work schedule.
3. Course Kit Includes
- Hands-on Labs: Experiment with model behavior, compute trade-offs and architecture choices in guided lab environments.
- Practice Exams and Quizzes: Test your readiness with practice exams, quizzes and themed Challenge Zone assessments.
- Use Cases and Case Studies: Explore real-world scenarios of scalable, secure and production-ready AI solutions.
4. Learning Support
- Practitioner-Led Guidance: Learn from an AI coach and consultant with real-world architecture experience.
- AI Tutor: Ask questions on AI fundamentals, LLMs and infrastructure and deepen your understanding through interactive conversation.
- Subject Matter Expert Recordings: Watch recorded sessions from industry experts on key AI architecture concepts.
5. Certification Value
- Industry-Relevant Credential: Strengthen your profile for AI architecture, solution architecture, cloud and enterprise architecture roles.
- Proctored Certification: Earn a certification validated through a proctored exam.
- Professional Recognition: Showcase your Certified AI Solution Architect credential on your resume and LinkedIn profile.
6. Bonus Career Resources
- AI Architecture Interview Guide: 80+ technical and design questions commonly asked in architect interviews.
- Architecture Portfolio Templates: Professional templates to document your AI solution designs and case studies.
- Lifetime Alumni Network: Ongoing access to peer learning, design reviews and career opportunities.
Eligibility+
This course is designed for professionals who want to design AI systems and build a career in AI solution architecture.
- Solution Architects looking to add AI architecture skills to their profile.
- Cloud Architects who want to design and deploy AI workloads at enterprise scale.
- AI Engineers and ML Engineers who want to understand wider AI solution architecture beyond model coding.
- Technical Leads and Engineering Managers responsible for AI initiatives and delivery.
- Enterprise Architects who need to align AI solutions with governance, security and business strategy.
- Working professionals who want practical, hands-on exposure to LLMs, RAG, AI agents, APIs, data and security.
- Professionals who want to evaluate build vs. buy decisions, scalability, cost, reliability and deployment.
This course is not ideal for learners who want only basic AI awareness, who want to focus only on model coding or data science, or who prefer passive video learning without labs, exercises and assessments.
Pre-requisites+
There are no strict mandatory prerequisites for this program. However, the following knowledge can help learners progress faster:
- Basic understanding of software, cloud or IT systems
- Familiarity with APIs and application architecture concepts
- Basic awareness of AI and machine learning terminology
- Interest in solution design and architecture decisions
- Problem-solving and analytical mindset
Training Delivery Style+
This training is delivered through a flexible, practical self-paced approach.
- Self-paced video lessons
- Slide decks and downloadable study materials
- Interactive hands-on labs in a guided environment
- Real-world architecture case studies and use cases
- AI Tutor for interactive doubt clearing
- Quizzes, Challenge Zone and practice exams
- Studio sessions with expert-led videos and reflections
- Lifetime access, anytime and anywhere
Key Benefits+
High-Demand AI Architecture Skills
Build in-demand skills across LLMs, RAG, agentic AI, deployment, LLMOps and AI governance that are valued across industries worldwide.
Strong Career Growth Opportunities
AI Solution Architects are needed across enterprises, consulting firms and technology organizations that are moving AI from pilot to production.
Practical, Hands-on Learning
Every module pairs theory with a hands-on deliverable, so you build and document architecture work instead of only learning concepts.
Portfolio-Ready Capstone
Turn your work into a case study you can confidently present to hiring managers and stakeholders.
Reduce Cost, Risk and Delivery Time
Learn to design for efficiency from the start, add guardrails for safe production use, and apply reusable frameworks that shorten delivery time without cutting corners.
Governance and Compliance Readiness
Understand how ISO/IEC 42001, the NIST AI RMF and the EU AI Act translate into practical Responsible AI controls.
Flexible Learning for Working Professionals
Learn at your own pace with lifetime access to modules, labs, assessments and resources.
Exam & Certification+
About the Examination
The Certified AI Solution Architect exam is a proctored, multiple-choice exam designed to test your ability to apply AI architecture concepts to real-world scenarios. NovelVista's training includes quizzes, scenario-based questions, practice exams and Challenge Zone assessments that prepare you for the final examination. A complimentary retake is available.
About the Certification
- Professional certificate awarded on successful completion of the exam.
- Validated through a proctored examination.
- Valid for 5 years.
- Covers the complete AI solution architecture lifecycle, from foundations to governance and strategy.
- Strengthens your credibility for AI Solution Architect, Cloud Architect, Enterprise Architect and AI Technical Lead roles.
- Complimentary retake included.
Support & After-Training Resources+
Your learning journey continues after you complete the course. NovelVista provides ongoing resources and community support to help you apply what you have learned.
- Lifetime access to all modules, labs, assessments and learning resources.
- AI Tutor support for interactive doubt clearing.
- Subject Matter Expert recordings for revision and concept reinforcement.
- Access to a lifetime alumni network for peer learning, design reviews and career opportunities.
- AI Architecture Interview Guide with 80+ technical and design questions.
- Architecture Portfolio Templates to document your AI solution designs.
- 30-day money-back guarantee, subject to our terms.
Certified AI Solution Architect Exam: Key Details
Exam format: Multiple choice
Number of questions: 42
Exam duration: 90 minutes
Language: English
Passing score: 70%
Proctored: Yes
Certification validity: 5 years
Complimentary retake: Yes