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udemy Python GUI Programming Using PyQt5
Python GUI Programming Using PyQt5 View File File Name: Python GUI Programming Using PyQt5 Content Source: https://www.udemy.com/course/python-gui-programming-using-pyqt5/ Genre / Category: Premium courses Password: Original Price: $69 Language: ENGLISH For Paid User Without URL Shortener: Download : GO TO SINGLE CLICK DOWNLOAD PAGE ABOUT THE COURSE: Python programmers are among the highest paid developers on the planet. Lots of programmers are trying to build an edge as Python developers in order to stand out of the crowd. One of the best ways for you to do this is by being able to create applications in Python that are cross-platform, and have a graphical user interface (GUI). This course will allow you to add GUI programming using PYQT5 to your box of tricks. PYQT is a set of bindings that enable you to use the QT toolkit. QT was created nearly 25 years ago and is continually improved, and is one of the most popular toolkits of it's type available. Many companies have turned to QT to bring cross platform capabilities to their applications. Programmers who are experienced with QT, and by extension PYQT are in high demand. The latest version of PYQT is 5, so this course focuses on that version - PYQT5. If you are looking to learn Python GUI programming and specifically QT and PYQT5 then this is the course for you. Volkan Atış, your instructor is a very experienced developer, and knows Python GUI application development inside out. He is here to pass on those skills to you. Whats covered in the course? Python GUI Programming using PYQT5. Not only will you learn how to use Python to build Desktop applications, but Volkan will take you on a journey where you will also explore advanced GUI programming, creating actual Python applications, using Sqlite advanced database queries and loads more! Key topics in the course include:- PyQt5. Python GUI programming (beginner and advanced). Python advanced GUI programming. Python PyQt5 widgets. Creating real Python applications. Sqlite advanced database queries. Python PyQt5 module widgets. What you will learn in this course? You will learn how to build real GUI Python programs using PYQT5 and by the end of the course will be a super productive and skilled Python PYQT5 programmer. Volkan Atış, your instructor is an expert Python developer so you can be assured you are learning from a true professional and learning the real-world skills you need to know to succeed. Submitter S A N Submitted 06/19/2026 Category Courses Sale page https://www.udemy.com/course/python-gui-programming-using-pyqt5/- python gui
- gui programming
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Harness Engineering & Agent Orchestration
Harness Engineering & Agent Orchestration View File File Name: Harness Engineering & Agent Orchestration Content Source: https://frontendmasters.com/workshops/harness-engineering/ Genre / Category: Premium courses Password: Original Price: $390 Language: ENGLISH For Paid User Without URL Shortener: Download : GO TO SINGLE CLICK DOWNLOAD PAGE ABOUT THE COURSE: The Course on Designing, Coordinating, and Operating AI Agents assists developers in mastering the key principles of creating reliable and scalable intelligent systems. The focus is on engineering practices and infrastructure components that ensure the stable operation of agent solutions in corporate and production environments. The program is structured around modern approaches to creating AI agents that require memory, tools, execution control, and observability mechanisms. The key concept of the course is Agent Harness: an intermediary layer that provides agents with stable operations and secure integration with external systems. Main Areas of Study Architectures of AI applications and multi-agent systems Management of memory, context, and state of agents Durable Execution for long-term processes Safe code execution in isolated environments Organization of interaction and coordination of multiple agents Practical Part Each module is accompanied by real examples using TypeScript and Node.js, demonstrating the development, testing, and operation of intelligent systems. Participants will learn techniques for building fault-tolerant processes, automatic recovery, and management of tools within the agent environment. Key Practices Error handling and failure recovery Organization of secure tool calls Embedding humans in the decision-making loop (Human-in-the-Loop) Modeling interaction of specialized agents Who the Course Is For The course is designed for specialists who want to design and implement modern corporate-level AI systems. Recommended Level of Preparation Confident proficiency in TypeScript and Node.js Understanding of LLM API principles Basic knowledge of agent cycle architecture Experience in asynchronous programming and integration of external services Especially Beneficial For Full-stack developers Engineers creating AI solutions Technical leaders and architects Learning Outcomes After completing the course, participants will be able to design complex multi-agent systems, manage interactions between different types of agents, and implement proven engineering approaches to develop reliable AI applications. Submitter S A N Submitted 06/19/2026 Category Courses Sale page https://frontendmasters.com/workshops/harness-engineering/- harness engineering
- agent orchestration
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Ultimate Google VEO 3 Prompt Guide for VIRAL Videos
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AI Coding for Real Engineers by Matt Pocock
AI Coding for Real Engineers by Matt Pocock View File File Name: AI Coding for Real Engineers Matt Pocock Content Source: https://www.aihero.dev/cohorts/ai-coding-for-real-engineers-m0k0w Genre / Category: Premium courses Password: Original Price: $995 Language: ENGLISH For Paid User Without URL Shortener: Download : GO TO SINGLE CLICK DOWNLOAD PAGE ABOUT THE COURSE: A two-week intensive course for developers who want to implement AI tools in real production: from context management and architectural planning to autonomous agents and effective code review. Are you using AI correctly? I am. And daily development with the help of neural networks has completely changed my perspective on modern engineering work. The main thing I realized is that AI is both hype and a powerful tool. But the potential is unlocked only for those who possess the skill of systematic design. Inexperienced use of AI (for example, Claude Code) creates technical debt and chaotic code. Developers usually fall into one of two traps: Delegate too much. Fall into a mindless generative flow, creating spaghetti code. Delegate nothing. Fear AI, keep everything in their head, and quickly burn out. We propose an engineering path—a balanced working model where AI becomes a predictable tool, not a chaotic generator. Course Program: From "Vibe-Coder" to AI‑Hero In 2 weeks, you will go from chaotic requests to systematic automation. The program is divided into logical modules: Course Modules Pre-course: Rapid immersion into Claude Code, basics of LLM and the Explore/Build/Clear cycle. Context Management: Working with configuration (AGENTS.md), custom skills, and targeted content delivery. Architecture and Planning: PRD, multi-step plans, tracer bullets for solution testing. Feedback Loops: How to build a constraint system ensuring the quality of output code. Autonomous Work (AFK): Launching agents through Ralph loops with progress monitoring. Product Design: How to combine research, prototyping, and engineering practices for mature IT solutions. What will change in your work? Before the Course "YOLO" mode and chaotic code generation. Confused codebase without architecture. Either hundreds of useless tests or none at all. Loss of understanding of one's own system. AI that needs constant oversight. After the Course Sandboxes, constraints, and predictability of AI behavior. Architecturally clean codebase with deep structure. Testing at key boundaries of the system. Control of structure and logic without overload. A reliable AI agent to whom tasks can be delegated. Why This Methodology Works Engineering is a mindset, not an IDE. Tools change, but the foundation remains: communication, decomposition, systematic planning, and skill in managing complexity. These skills are equally effectively applied to working with both people and AI agents. The Author's Personal Experience Using Claude Code and established automation cycles, I single-handedly created a professional video editor and CMS on TypeScript/Effect.ts—over 1000 commits and 500+ tasks without sacrificing work and personal life. Now, I want to share this superpower with you. Submitter S A N Submitted 06/17/2026 Category Courses Sale page https://www.aihero.dev/cohorts/ai-coding-for-real-engineers-m0k0w- matt pocock
- ai coding for real engineers
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