Sundog Education by Frank Kane

Mastering the System Design Interview

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Mastering the System Design Interview stands out as a premier resource for software engineers aiming to secure roles at top-tier tech companies. Created by Frank Kane of Sundog Education, a former Amazon hiring manager, this course provides candidates with an authentic, insider's perspective on what interviewers actually look for. Rather than just memorizing standard architectures, learners dive deep into the fundamental principles of scalable systems. The curriculum comprehensively covers horizontal scaling, choosing the right databases, and designing for high availability and fault tolerance. A key highlight is the inclusion of six realistic mock interviews, allowing students to witness theoretical concepts applied in real-time scenarios. Beyond technical mechanics like sharding, caching, and load balancing, the course emphasizes structured communication frameworks and the vital soft skills that often determine an interview's outcome. Whether you are transitioning to a senior role or prepping for FAANG interviews, this program equips you with the confidence and analytical tools needed to handle ambiguous, open-ended design problems effectively.

AI Foundations — The Fundamentals: Understanding Modern AI

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Navigating the rapidly evolving landscape of artificial intelligence can feel overwhelming, but "AI Foundations — The Fundamentals" bridges the gap between complex computer science and everyday utility. Created by industry veteran Frank Kane and Sundog Education, this course offers a clear, accessible entry point into understanding how modern AI systems actually function under the hood. Instead of focusing solely on dry academic theory, the curriculum demystifies technologies like Large Language Models (LLMs) and tools like ChatGPT, explaining how they process information and generate human-like responses. Learners will explore the practical boundary between AI reality and science-fiction myth, gaining a realistic perspective on current machine learning capabilities and limitations. Beyond theory, the course emphasizes actionable strategies to integrate AI into your daily workflow, showing you how to boost productivity, streamline writing tasks, conduct efficient research, and spark creative thinking. Whether you are a software engineer looking for a conceptual foundation, a business professional aiming to leverage AI tools, or a curious individual wanting to stay ahead of technological trends, this course equips you with the fundamental literacy needed to navigate the AI-driven future with confidence.

AWS Certified Generative AI Developer Pro - 3 Practice Exams

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Preparing for the AWS Certified Generative AI Developer Professional exam requires more than just theoretical knowledge; it demands hands-on confidence and a deep understanding of how AWS services power modern generative artificial intelligence solutions. This practice test suite, designed by Frank Kane and the Sundog Education team, offers candidates a rigorous simulated testing environment to evaluate their readiness before sitting for the official certification. Across these comprehensive practice exams, learners will tackle highly realistic questions that mirror the actual test's format, difficulty level, and domain distribution. The practice exams cover critical competencies required for the modern AI developer, including working with Amazon Bedrock, fine-tuning foundational models on SageMaker, implementing Retrieval-Augmented Generation (RAG) patterns, managing vector databases, optimizing prompt engineering, and ensuring robust security and privacy compliance in cloud-based AI systems. Every question is accompanied by detailed explanations for both correct and incorrect answers, transforming each practice run into an active learning opportunity. Whether you are aiming to identify knowledge gaps, master the pacing of the exam, or reinforce concepts learned in your primary studies, this practice resource serves as an essential final milestone in your preparation journey toward becoming an AWS-certified generative AI expert.

Ultimate AWS Certified Generative AI Developer Professional

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The Ultimate AWS Certified Generative AI Developer Professional course, designed by Sundog Education by Frank Kane, is a comprehensive training program engineered for cloud developers and AI professionals aiming to master generative AI on AWS. As organizations rapidly adopt large language models (LLMs), this course bridges the gap between theoretical AI concepts and production-grade AWS implementations. Students dive deep into Amazon Bedrock, exploring foundational models, prompt engineering, and fine-tuning. The curriculum places heavy emphasis on building scalable Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases, alongside crafting sophisticated agentic workflows with Bedrock Agents and Flows. Security, model evaluation, and governance are thoroughly addressed via Bedrock Evaluations and safety controls. Beyond development, the course integrates DevOps and serverless principles, teaching learners how to orchestrate applications using AWS Lambda, Step Functions, and robust CI/CD pipelines. Complete with a realistic 75-question practice exam, this course equips learners with both the practical skills to deploy real-world GenAI solutions and the targeted knowledge required to successfully pass the official AWS certification.

Anthropic Claude Certified Architect - 3 Full Practice Exams

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Preparing for the Anthropic Claude Certified Architect certification requires more than just theoretical knowledge; it demands practical, scenario-based problem-solving skills. This comprehensive practice exam course, developed by Sundog Education by Frank Kane, is designed specifically for AI architects, software engineers, and developers looking to validate their expertise in building advanced applications with Anthropic's Claude models. Spanning across three full-length practice tests with 180 highly realistic questions, the curriculum systematically covers all five official exam domains. Learners will dive deep into designing robust agentic architectures, evaluating Model Context Protocol (MCP) tool designs, and configuring Claude Code for seamless team workflows. Additionally, the exams test your ability to master prompt engineering, structured JSON outputs, and complex context management issues in multi-turn conversational systems. With detailed explanations and direct links to official documentation for every question, this course serves as an essential diagnostic tool. It helps candidates pinpoint their knowledge gaps, refine their architectural strategies, and approach the official certification exam with absolute confidence.

Claude Code: Building Faster with AI, from Prototype to Prod

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In "Claude Code: Building Faster with AI, from Prototype to Prod," Sundog Education's Frank Kane delivers a highly practical guide to integrating Anthropic's revolutionary CLI-based AI agent into your software development lifecycle. Designed for developers eager to boost their productivity, this course transitions you from theoretical AI prompts to hands-on, production-ready engineering. Throughout the curriculum, you will build a sophisticated, full-stack online radio station web application entirely driven by natural language commands via the command line interface. You will master the art of using Claude Code to write clean code, refactor legacy scripts, and implement unit tests effortlessly. Beyond basic syntax generation, the course emphasizes modern DevOps integration, teaching you to leverage Claude within GitHub Actions to automate pull request reviews, resolve active repository issues, and configure robust CI/CD pipelines. Security is also a prime focus; you will learn to scan for vulnerabilities and optimize system performance under Claude's guidance. Crucially, the training instills the critical skill of balancing automated AI efficiency with human engineering oversight, helping you recognize precisely when to rely on Claude's output and when your human judgment must steer the project. Whether you are a beginner looking to understand AI-assisted workflows or an experienced developer aiming to accelerate your delivery pipeline, this course provides the strategic and technical foundation required to build, test, and ship applications at unprecedented speeds.

AI Agents Crash Course: Build with Python & OpenAI

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The AI Agents Crash Course: Build with Python & OpenAI, created by Frank Kane and Sundog Education, provides a highly practical, fast-paced pathway for developers and tech professionals aiming to master the next generation of artificial intelligence. As the industry shifts from static LLM prompts to dynamic, autonomous agents, this course delivers the essential skills needed to build robust, agentic AI systems. Throughout the curriculum, learners dive deep into the OpenAI SDK and Python, exploring core concepts like tool calling, persistent memory, and streaming responses. Beyond the basics, the course addresses critical production challenges, teaching students how to implement Retrieval-Augmented Generation (RAG) using embedding databases, enforce system safety through guardrails, and engineer precise prompts for behavior control. Students will also learn to orchestrate advanced multi-agent architectures that handle complex task decomposition and seamless hand-offs. Designed for software engineers, data scientists, and technical architects, this concise program ensures you can build, secure, debug, and deploy production-ready AI agents to the cloud in just a few hours.