AI for Test Automation

From Coding Agents to Reliable Agentic Workflows

הסמינר מורכב משלוש הרצאות טכניות העוסקות בשילוב AI בתהליכי אוטומציית בדיקות - החל מעבודה אפקטיבית עם Coding Agents, דרך התאמת תשתיות האוטומציה לעבודה עם AI, ועד לבניית Agentic Workflows אמינים ומבוקרים.

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   Claude Code for Test Automationמק״ט 4379

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   Building AI-Ready Test Automationמק״ט 4387

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   Building Reliable Agentic Test Automationמק״ט 4388

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Beyond the Demo AI agent build for the real world

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   The Agent Stack Behind Reliable Agentic Systemsמק״ט 4398

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   Modern AI Agent Memory: Methods, Algorithms, and Challengesמק״ט 4395

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   Observability in the AI Era: From Telemetry to Trusted Actionמק״ט 4476

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Building MCP Servers

This seminar explores the Model Context Protocol (MCP) - the key to enabling AI agents to interact with external environments. Participants will gain a clear understanding of LLM agent loops and…

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   Foundations: LLMs, Agents & MCPמק״ט 4389

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   Using Existing MCP Serversמק״ט 4391

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   Building Your Own MCP Serverמק״ט 4392

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Engineering for Reality: Cloud Automation, Production Failures & Resilience

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   Infrastructure as Code: Automation Without Losing Gripמק״ט 4397

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   Failure Occurs Only in Productionמק״ט 4394

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   Resilience by Design: Building Resilient Applications on OCIמק״ט 4419

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Engineering Production Multi-Agent Systems

An Enterprise Case Study Masterclass

100% Case-Study Driven | Built from a Real Enterprise Production Deployment Building a prototype AI agent is easy making it reliable, scalable and cost-effective in enterprise production is where most engineering…

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   Single-Agent Bottlenecksמק״ט 4294

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   Scaling with Multi-Agent Patterns and Middlewaresמק״ט 4354

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   Advanced Multi-Agent Engineeringמק״ט 4355

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Vibe Coding- From Concept to Deployment

הסמינר יציג את תהליך הפיתוח המודרני בעידן ה-Vibe Coding – משלב הרעיון הראשוני ועד למוצר חי ופעיל בענן. במהלך הסמינר תיחשפו לשימוש מעשי בכלי AI מתקדמים (כגון Cursor, Claude Code, Lovable…

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   From Concept to Prototypeמק״ט 4245

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   Full-Stack AI Developmentמק״ט 4246

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   Integrations, Automations & Cloud Deploymentמק״ט 4247

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What Developers Using AI Still Need to Know About Programming

In an era where AI generates code faster than engineers can read it, the fundamental nature of software development has shifted. This course addresses the critical knowledge gap between AI-driven code…

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   From Writing to Judging: Software Engineering in the Age of AI Code Executionמק״ט 4295

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   Concurrency, Algorithms & Architecture Where AI Fails (and You Need to Rescue It)מק״ט 4296

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   The AI Leash Building an Enterprise Safety Net and Rethinking Development Processesמק״ט 4299

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Agentic Automation: Claude, MCP and n8n in Practice

This seminar covers building working agentic automations by combining three layers: Claude as the reasoning engine, MCP (Model Context Protocol) as the standard way to give Claude access to tools and…

AI-Native Development Practices for Modern Developers

This seminar provides a practical introduction to modern AI coding assistants, with a focus on GitHub Copilot as the main tool used throughout the training. Participants will learn the core concepts…

Beyond Code Generation: Backend Performance with AI

Generation is the cheap part. The expensive question - why is this slow, and what do I change? - is one an AI agent answers confidently and wrongly unless you arm…

Agent Development in Practice with TypeScript: A Deep Dive

Most AI tutorials stop at the "Hello World" of conversational bots. This intensive training takes you far beyond the basics, equipping you with the practical skills to build, optimize, and scale…

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   הרצאה 1 לדוגמא

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   הרצאה 2 לדוגמא

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   הרצאה 3 לדוגמא

Building AI Agents with Node.js: The Claude Agent SDK Workshop

This workshop is a hands-on introduction to building production-oriented AI agents in Node.js using the Claude Agent SDK. Participants move from a single model call to a fully featured agent with…

Testing AI Features: Defining Quality in the AI Age

AI features don't fail like traditional software. They drift, hallucinate, change tone, and give different answers to the same question. Pass/fail doesn't work here. So how does QA do its job?…

Modern Data Science & AI for Developers

The rapid advancement of Generative AI has transformed the way developers build Data Science and AI solutions. While AI tools can significantly accelerate development, successful AI projects still require strong Data…

Practical API Design

An API is the primary contract that connects software components, systems, and engineering teams. Whether you are exposing a public RESTful web service, building internal client/server interfaces between development groups, or…

מ-QA ידני לאוטומציה חכמה עם AI ו-Vibe Coding

בסמינר יישומי זה, יגלו המשתתפים כיצד לבנות מקצה לקצה תהליכי אוטומציה מתקדמים על גבי פלטפורמת Playwright תוך שימוש ב Python ובאמצעות Vibe coding  בשילוב בינה מלאכותית. הלמידה תחל בתרגול מעשי בסיסי…

Agentic AI with N8N for DevOps

Event-Driven Reactions, Alert Intelligence and Controlled Remediation

This workshop focuses on using n8n as a reaction and decision engine for real DevOps environments. The emphasis is not on how to deploy n8n, but on how to use it correctly in production to respond to…

Agentic Engineering in Practice: Atlassian AI Workshop

From Methodology to Execution: Deploying Autonomous Agents in Your SDLC

AI agents are changing how software gets planned, built, reviewed and shipped, but most teams are still experimenting in isolation. In this hands-on workshop we show how to make agentic engineering…

Design Patterns and Advanced Software Architecture: How to Combat AI Software Decay

As AI coding assistants accelerate raw code generation, software systems face an unprecedented threat: rapid architectural decay. Without strong structural boundaries, AI-generated code quickly degrades into tightly coupled "spaghetti," inflating technical…

How to build RAG applications with langchain

A fast-paced, hands-on day that takes you from prompt-only demos to production-ready Retrieval-Augmented Generation (RAG). You’ll learn how to ingest and chunk documents, embed them into a vector store, retrieve the…

Multi-Repo Agentic Development: Scaling AI Coding Across Teams

Most AI coding tutorials assume a single repo on your laptop. Real teams don't work that way. This workshop walks from the simple case (five repos, all cloned locally) to the…