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Claude Certified Architect Foundations: Complete Course

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5(10 students)

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All Levels

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This course contains the use of artificial intelligence. Prepare for the Claude Certified Architect – Foundations exam while building a practical Claude-powered application from the ground up. This course goes beyond memorizing certification terminology.

You will build ShopAssist AI, a realistic customer support assistant for an online store, and gradually develop it into a structured, tool-enabled, and production-oriented Claude system. You will begin with the foundations of large language models and the Claude API, including API requests, multi-turn conversations, system prompts, model settings, and prompt evaluation. From there, you will learn how to generate reliable structured outputs, validate model responses, implement retry logic, and combine automated evaluation with human review.

As the project develops, you will connect Claude to external capabilities through tool use and Model Context Protocol concepts. You will design clear tool schemas, execute tool calls, configure access, handle structured errors, and build controlled agentic loops. You will then explore more advanced architecture patterns, including coordinators, subagents, task decomposition, hooks, approval gates, handoffs, session state, context passing, scratchpads, and long-running workflows.

The course also covers practical Claude Code workflows, including:CLAUDE configuration, rules, and memorySession resume, compact, forks, and scratchpadsCommands, skills, plan mode, and iterative refinementClaude Code integration with CI/CD and independent reviewThe curriculum is aligned with the five major certification domains:Agentic Architecture and OrchestrationDesign coordinated workflows using agentic loops, subagents, task delegation, context management, and controlled handoffs. Tool Design and MCP IntegrationCreate effective tools, define schemas, configure access, manage MCP connections, and handle recoverable errors. Claude Code Configuration and WorkflowsConfigure Claude Code for individual and team development workflows, project consistency, and automated review.

Prompt Engineering and Structured OutputWrite clear prompts, apply few-shot examples and XML structure, generate schema-compliant outputs, and evaluate response quality. Context Management and ReliabilityApply escalation, confidence handling, provenance, human review, error propagation, and production reliability patterns. By the end of the course, you will be able to connect the certification concepts to real Claude application architecture.

You will understand not only what the exam topics mean, but how they work together inside a practical, testable, and more production-ready AI system. This course is ideal for developers, AI engineers, solution architects, technical consultants, and professionals preparing for the Claude Certified Architect – Foundations exam or building applications with Claude, MCP, agentic workflows, and Claude Code.

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The architecture describes the processes and structures of the entire project, determining the data throughput in different parts of the project, and allows you to optimize and scale the project in the future.Good architects are often people who learn from even better architects. Perhaps this is because some conceptual requirements are inherent in almost all projects. Each conceptual requirement is formulated as a question that the architect must ask himself during the project. Of course, some systems may have their own additional critical conceptual requirements.We will get to know the types of software architectures. We will be able to create our own simple software architecture. We will be able to use and expand the software architecture. As a result, this course will be useful not only for architects or people who plan to become one. And, technical leaders of the development group, developers of different levels and testers.In first section, I reveal the main objective of the course. In second section you will be introduced to the types of software architectures. In third section you will be able to create his own simple software architecture. In forth section you will be able to use and extend the software architecture. In fifth section the nuances of software architecture will be considered. Six section will help you understand which part of the course will be most useful to you.Course Topics and Structure:1. Introduction2. Familiarity with software architecture.2.1 Introduction2.2 Principles of software architecture.2.3 The content of the architecture.2.4 Static structural diagrams.2.5 Dynamic diagrams.2.6 Conclusions.3. Creation of software architecture.3.1 Introduction3.2 How to start creating software architecture.3.3 The interface and what it should describe.3.4 Interaction of components and objects.3.5 Database. Content, objects, interaction.3.6 Dynamic diagrams, how to do and why you need them.3.7 Conclusions.4. Support and use of software architecture.4.1 Introduction4.2 What to do with the software architecture after its creation.4.3 Helpful information for the programmer on software architecture.4.4 Support of software architecture.4.5 Extending the software architecture.4.6 Conclusions.5. Software architecture. Next level.5.1 Introduction5.2 Summary of the main structures.5.3 Impact of software architecture on the future life of software.5.4 A software architect is not a profession, but a calling.5.5 Twelve architecture mistakes.5.6 Conclusions.6. Conclusions and results of the course. Summing up.

Improving software development productivity.

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What will be in the course:Personal experience;How I structured the work in my team;What my team and I use;What are the alternatives to my tools;Which helped speed up development.What this course will not include:A huge amount of theory;Calculations that prove how to design;Imposing opinions and proving that problems need to be solved only this way and nothing else.As a result, this course will be useful not only for the technical leader of the development group, but also for managers of different levels, developers and testers.The topics of the lessons that will be discussed in this course are shown on the slide:Introductory lesson;Team and roles in it;Technical task;Work planning;Task management systems;Architecture;Version control systems, version accounting;Codestyle;Description of the code;Automatic generation of documentation;Testing;Bug life cycle, Bug tracker;Automatic tests;Automatic machines and scripts;Instructions;Summing up and my results.For each topic, there will be an explanation of how this innovation in the development process will help increase efficiency.By efficiency, I mean the following measured parameters:The number of mechanical errors will decrease;Development time will be reduced;The error search time will decrease;The time to attract a new developer will decrease;The accuracy of the development forecast and adherence to plans is increased.And not measurable, which will also get better:It will become easier to hand over the product to the customer;Developers' interest will increase.

OWASP Top 10 LLM 2025: AI Security Essentials

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Artificial Intelligence is no longer a buzzword - it’s a critical part of modern software systems. Large Language Models (LLMs) like GPT, Claude, and others are being embedded into chatbots, customer support systems, code assistants, knowledge management platforms, and even critical business applications.But here’s the problem: while adoption of AI is skyrocketing, security hasn’t kept up. Most organizations are deploying LLM-powered systems without fully understanding the new risks that come with them. Attackers are already discovering creative ways to exploit these models - through prompt injection, data leakage, model extraction, unbounded resource consumption, embedding inversion, and more.This is why the OWASP Top 10 for LLMs (2025) was created: a global standard designed to help professionals understand and defend against the most dangerous vulnerabilities in AI systems. And this course is your step-by-step guide to mastering it.Why this course? Why now?First-mover advantage: Few professionals truly understand LLM security today. By mastering it now, you position yourself as a forward-thinking expert in one of the fastest-growing fields in cybersecurity.Comprehensive coverage: We don’t just list vulnerabilities - we analyze real-world attacks, case studies, and live demonstrations so you can see how threats work in practice.Practical defense strategies: Every risk is paired with concrete mitigation techniques that you can apply immediately in your own systems.Bridging AI and security worlds: Whether you come from a software, security, or AI background, this course gives you a common language and actionable playbook to secure LLM deployments.Career impact: AI security skills are in massive demand. Adding “OWASP Top 10 for LLMs (2025)” expertise to your CV instantly makes you stand out to employers, clients, and organizations racing to secure their AI.What you will learn inside this courseThe OWASP Top 10 for LLMs (2025) explained in depth.The unique risks of LLMs compared to traditional web apps and APIs.How to detect and defend against prompt injection and data exfiltration attacks.Strategies to mitigate denial-of-wallet, resource exhaustion, and abuse of compute cycles.Techniques for protecting against model extraction and inversion attacks.Risks in multi-tenant vector databases and retrieval-augmented generation (RAG) setups.Implementing secure design patterns, RBAC, and least-privilege principles for AI apps.Building monitoring, logging, anomaly detection, and governance systems for AI pipelines.Hands-on insights into adversarial robustness, red teaming, and continuous security testing.Best practices for compliance, ethics, and legal frameworks when deploying AI responsibly.Who should take this course?This course is designed for a wide range of professionals:Software developers embedding LLMs into applications.Security engineers & penetration testers who want to expand into AI.AI/ML engineers needing to harden their models against adversaries.Solution architects & tech leads responsible for secure design.MLOps and DevOps professionals maintaining AI pipelines.Business leaders & product managers making decisions about AI adoption.Cybersecurity students, researchers, and compliance officers looking for cutting-edge knowledge.Why this course is the best choice for youUnlike generic AI or security training, this course is laser-focused on the intersection of LLMs and cybersecurity. It’s built around the official OWASP Top 10 for LLMs (2025), the first global framework for addressing AI-specific vulnerabilities. You’ll not only gain theoretical knowledge but also actionable skills you can use immediately.By enrolling, you’re not just learning about threats - you’re learning how to future-proof your career, protect your projects, and become a trusted expert in one of the most urgent topics in technology today.Don’t wait until the next security breach makes headlines. Enroll now, master the OWASP Top 10 for LLMs (2025), and be at the forefront of AI security.

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Claude Certified Architect Foundations: Complete Course

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Software architecture

Improving software development productivity.

OWASP Top 10 LLM 2025: AI Security Essentials

Claude Certified Architect Foundations: Complete Course

About this course

Skills you'll gain

Available Coupons

Course Information

This course includes:

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Software architecture

Improving software development productivity.

OWASP Top 10 LLM 2025: AI Security Essentials