Verleger: Zenva Academy
Zenva Academy
Effective certification preparation depends on more than reading technical material; it also requires repeated practice, honest self-assessment, and familiarity with the exam experience. This collection gives readers a structured way to test their readiness for AI-200 and understand how well they can apply the knowledge expected by Microsoft.The opening sections explain exam details, question coverage, prerequisites, setup, and a practical method for taking each test. Readers then work through ten complete practice exams, reviewing an answer key after every attempt. This format supports a steady cycle of testing, checking, and revisiting weak areas rather than relying on passive review.Across repeated attempts, readers can improve recall, spot patterns in missed questions, manage time more deliberately, and build confidence under exam-style conditions. By the end of this book, they will have a clearer view of their strengths, a focused plan for final study, and greater readiness to sit the AI-200 exam.
101 Claude Code Tips. A Battle-Tested Field Guide for Agentic Coding
Zenva Academy
Effective agentic coding begins with a dependable working environment and clear project guidance. The opening sections show how installation choices, environment settings, CLAUDE.md files, slash commands, and reusable skills can reduce friction while giving Claude Code precise boundaries. The focus stays on choices that improve everyday work rather than abstract features.The middle of the journey moves into planning, specifications, verification, hooks, MCP servers, subagents, and browser automation. Readers see how to separate exploration from execution, assign tools by role, protect risky actions, check outputs against real evidence, and package repeatable processes. Guidance on content quality, citations, reporting, sessions, context, and cost connects technical practice with trustworthy delivery.By the end of this guide, readers can shape Claude Code into a more disciplined development partner. They will be ready to combine speed with review, use automation without surrendering judgment, and avoid common habits that create fragile or misleading results.
Best Practices for Claude Code. Advanced Agentic Coding for Real-World Codebases
Zenva Academy
Reliable AI-assisted development depends on more than a well-worded prompt. The opening material frames prompting as engineering communication, showing how constraints, guardrails, project context, and human control shape the quality of a result. Readers prepare a working environment, review prerequisites, and learn why clear boundaries matter before any code is changed.The central sections use CLAUDE.md, architecture maps, scratchpads, and planning documents to make intent visible. Readers follow server and client concerns, record open decisions, define planned file changes, inspect a running application, and test generated features. The emphasis is on small, reviewable modifications that respect existing design rather than broad rewrites driven by vague instructions.By the end of this guide, readers can direct Claude Code with greater precision and assess its work with informed judgment. They will know how to limit scope, verify behavior, manage context drift, and establish repeatable practices for safer maintenance over time.
Claude Code Automation. MCP, Skills, and Production Agentic Workflows
Zenva Academy
Useful automation starts with a clear model of what the agent may do, what each tool provides, and where human approval belongs. The opening sections establish project guidance, working memory, planning, and scope controls before introducing the Model Context Protocol. Readers learn how MCP servers expose capabilities through defined tool contracts and why those contracts matter for safe execution.The practical work connects Claude Code to external systems. Readers configure MCP connections, inspect available tools, prepare a local repository, create a GitHub access token, and move through branch, commit, push, and pull-request-oriented tasks. Browser investigation with Playwright adds another layer, showing how an agent can inspect a web application while staying within explicit goals and observable checks.By the end of this guide, readers can design connected workflows rather than isolated prompts. They will be able to combine repository operations, browser automation, and project-level skills into repeatable processes that remain understandable, guarded, and easier to verify.
Claude Code in Action. Build a Real-World AI App From Start to Finish
Zenva Academy
Hands-on agentic development becomes clearer when every concept supports a working application. The opening sections prepare Node.js, Claude Code, required accounts, and project files, then introduce the shift from a coding assistant to an active development partner. Readers define the application, organize its core components, and translate frontend, backend, export, and error-handling needs into focused requests.The build then moves from generation to evidence-based troubleshooting. Readers install dependencies, run the application, diagnose the first failures, repair client-server communication, and investigate HTML and JSON exports. Additional work adds a presentation mode and compares hosted and local model providers through OpenAI and Ollama, including configuration and timeout problems that reveal how environment details affect behavior.By the end of this guide, readers can take an AI-assisted application from idea to a tested local result. They will be prepared to prompt with clearer intent, inspect generated code, resolve integration faults, and improve interface details through deliberate iteration.
Deployable AI SaaS. From Backend in Python to Stripe Integration
Zenva Academy
A dependable AI SaaS product needs more than a model endpoint. The first unit establishes a FastAPI backend with configuration, database models, users, API keys, credits, JWT access tokens, authentication middleware, and protected routes. Readers see how account data, credential checks, authorization failures, and service logic fit together as a coherent application foundation.The next stage extends those services into frontend experiences for registration, login, account management, API keys, and credit balances. Testing connects the client and server before billing work begins. Stripe integration then introduces products, prices, checkout, payment records, event verification, webhooks, and billing pages, with attention to how data moves through the complete user flow.By the end of this guide, readers can assemble and test the core systems behind an AI SaaS application. They will understand how authentication, usage credits, protected APIs, payments, database checks, and frontend interactions work together to support a more deployable product.
Design Patterns in Unity 6. Build Scalable and Maintainable Games with C#
Zenva Academy
Growing Unity projects can become difficult to extend when systems depend too heavily on one another. The opening material explains SOLID principles and shows how coupling affects readability, testing, and maintenance, giving readers a practical basis for choosing better structures.The journey then refactors real Unity 6 systems with C#. A generic Singleton centralizes shared access, the Observer pattern uses events to separate communication, and the Command pattern turns actions into flexible, extensible objects. Object Pooling is introduced through a shooter example, connecting reusable instances with measurable runtime benefits.By the end of this guide, readers can recognize where these patterns fit and implement them without adding unnecessary complexity. Complete project files and source code support further experimentation with scalable, maintainable game architecture.
Learn Godot From Scratch. Build Your First Games and Learn to Code
Zenva Academy
Starting game development is easier when the engine and code are introduced in a clear sequence. The opening material guides complete beginners through installing Godot 4.6, navigating the editor, and understanding nodes, scenes, hierarchies, and transforms without assuming prior experience.Practical work then moves into 3D space, materials, lighting, cameras, and viewports before introducing GDScript. Readers use variables, data types, operators, conditions, functions, and vectors to create a responsive player controller and a collectible coin, linking programming ideas to visible game behavior.By the end of this guide, readers can assemble, polish, and export a working 3D project. Downloadable project files and full source code provide a dependable reference for continued practice and more ambitious Godot games.