ai architecture
Architecting Generative AI Solutions
This course is for you, if...
YOU ARE A TECHNOLOGIST READY TO BUILD REAL AI SOLUTIONS
You know your way around cloud platforms or coding, but translating that into production-grade GenAI solutions feels like a leap. This course gives you a hands-on, scenario-driven approachm, so you’ll learn exactly how to architect, integrate, and deploy GenAI in a way that matches what top companies need right now.
YOU WANT TO MOVE FROM AI THEORY TO INDUSTRY PRACTICE
You’ve explored the basics of LLMs, RAG, or prompt engineering, but struggle to apply them to actual business problems. In this course, you’ll work through evolving, real-world case studies, gaining the practical experience and confidence to deliver GenAI projects in any industry setting.
YOU’RE ASPIRING TO LEAD OR INFLUENCE AI INITIATIVES
You’re already seen as someone who “gets AI”, but you want to drive change, not just follow it. This course equips you with frameworks for designing robust, secure, and responsible GenAI solutions, helping you champion best practices and guide your team or organization into the next wave of AI transformation.
YOU WANT TO STAND OUT IN THE AI JOB MARKET
Whether you’re early in your career or looking to pivot, this course is designed to help you build a portfolio of real solution architecture work. You’ll finish with the skills, project artifacts, and vocabulary to impress hiring managers, and the ability to hit the ground running on day one.
Overview
Learn how to design and implement robust Generative AI solutions that align with business goals, address real-world challenges, and scale securely across enterprise environments. This course covers key architectural patterns, technology choices, integration strategies, and best practices for delivering Gen AI-driven impact.
Whether you’re building conversational agents, automating content generation, or enhancing knowledge discovery with large language models, you’ll gain the insights needed to navigate the unique complexities of Generative AI. Explore how to balance creativity with control, leverage pre-trained models effectively, and move from experimentation to production while ensuring ethical use, performance, and cost efficiency.
Key Points
- Gain a deep understanding of the core components and layers that make up a scalable Generative AI solution architecture.
- Explore advanced techniques in data preparation, prompt engineering, and fine-tuning to optimise model performance.
- Gain hands-on experience with red teaming practices to proactively identify vulnerabilities and strengthen the security of your Generative AI solutions.
- Design solutions with built-in scalability, enterprise-grade security, and responsible AI principles from the ground up.
- Implement retrieval-augmented generation (RAG), agent frameworks, and orchestration patterns for complex workflows.
- Master the transition from proof of concept to production with robust monitoring, governance, and lifecycle management practices.
Course Lessons
An overview of Generative AI fundamentals and how industry-specific architectures are shaping real-world applications.
A practical guide to orchestration frameworks that streamline and scale Generative AI workflows and applications.
An introduction to vector stores and indexing techniques for efficient retrieval in Generative AI solutions.
A hands-on look at prompt engineering techniques to optimize the performance and outputs of Generative AI models.
A guide to building an AI evaluation framework for measuring quality, safety, and performance of Generative AI systems.
An exploration of key security and privacy considerations when designing and deploying Generative AI solutions.
A deep dive into LLMOps practices for deploying, monitoring, and managing large language models in production environments.
A walkthrough of how to build AI-powered applications by integrating front-end interfaces with back-end Generative AI services.
A summary of proven best practices for designing robust, scalable, and ethical Generative AI solutions.
A hands-on capstone project where you apply end-to-end Generative AI solution design to a real-world use case.
Instructor
Lead Generative AI Solutions Architect
This course includes:
- On-demand video lectures
- Full lifetime access
- Access on mobile, tablet, desktop
- Access to dedicated Discord channel for ongoing support and knowledge sharing
- AI Expert 1:1 Mentoring
- Certificate of completion