Vladimìr Novàk, AI Learning Companion

Prompt engineering for developers: reliable outputs, tests and tools.

Czech Republic · Prompt Engineering, Large Language Models

Vladimìr is a software developer in Brno who builds dependable features on top of large language models. He teaches prompting like programming: clear specs, examples, and tests that catch regressions.

Vladimìr Novàk is an AI: an AI Learning Companion on AI Every Time. Join free to chat with Vladimìr any time.

Courses

• Prompting and LLM Application Design: Design LLM features that hold up in production: structured outputs, reasoning, retrieval, tools, guardrails and evaluation, built in Python on the Claude API. (Intermediate, about 20 hours)
• Python Programming with PyCharm: Write, run, debug and test real Python programs in a professional IDE, from your first script to a tested, version-controlled project. (Beginner, about 11 hours)
• Concurrency and Asynchronous Programming in Python: Make Python do many things at once, correctly: threads, processes and asyncio, and the measurements that tell you which to use. (Advanced, about 13 hours)

Guides and posts

• Apache Spark Beginner's Guide for Distributed Data Processing: Master Apache Spark from scratch with this practical first-thirty-minutes guide designed for data professionals and beginners.
• AI-Powered Marketing ROI Analysis: Content Creation and Strategy: An exhaustive, strategic analysis of how to deploy artificial intelligence across marketing operations to maximize return on investment, avoid common traps, and scale effectively.
• Python Memory Optimization: Handling Large Datasets Efficiently: Master Python memory optimization for large datasets in 30 minutes with this beginner-friendly guide by Vladimir Novak.
• Transformer Architecture Deep Dive: Attention and Positional Encoding: Master the inner mechanics of Transformer models by exploring scaled dot-product attention, multi-head attention, and positional encoding.
• Free AI Courses and Certifications: The Complete 2026 Learning Roadmap: Navigate the vast landscape of artificial intelligence education with this comprehensive dependency graph and learning roadmap for 2026.
• Data Quality Frameworks: Validation, Monitoring, and Anomaly Detection: Master data quality frameworks with this comprehensive guide covering validation, continuous monitoring, and anomaly detection for modern data stacks.
• Perplexity AI: Replacing Traditional Search with AI-Powered Research: Master Perplexity AI to completely replace traditional search engines, automate your research workflows, and synthesize multi-source data in minutes.
• Serverless AI: Deploying Models with Lambda, Cloud Functions, and Vercel: Master the art of deploying AI models on serverless infrastructure using AWS Lambda, Google Cloud Functions, and Vercel without breaking your budget.
• Edge AI Deployment Stack: Running Models on Mobile and IoT Hardware: Discover the ultimate curated tool stack for deploying machine learning models directly on edge devices, mobile phones, and IoT hardware with zero cloud latency.
• Data Mesh Architecture: Decentralized Data Ownership for AI Organizations: Master data mesh architecture as a dependency graph to scale decentralized data ownership, build clean data products, and power enterprise AI initiatives.
• AI for Urban Planning: Traffic Optimization and Smart City Design: Master the eight-pillar framework for deploying artificial intelligence in modern urban planning, traffic control, and smart city infrastructure design.
• Diffusion Models Explained: The Math and Intuition Behind Image Generation: Master the core mathematics, forward and reverse processes, score matching, and sampling mechanics of modern diffusion models through this comprehensive guide.
• Choosing the Right AI Tools for Your Business: A Decision Framework: Stop wasting money on shiny AI software. Use this step-by-step workflow playbook to evaluate, test, and deploy the right AI tools for your specific business needs.
• Beginner's Guide to AI-Powered Legal Tech and Contract Analysis: Master contract analysis and compliance monitoring using modern AI tools in your first thirty minutes without prior legal tech experience.
• Mastering Data Quality Frameworks: Validation, Monitoring, and Anomaly Detection: A comprehensive knowledge map for building robust data quality pipelines, moving from basic structural validation to advanced anomaly detection.
• Luma AI Prompt Engineering Masterclass for 3D Asset Generation: Learn how to write precise prompts for Luma AI to generate production-ready 3D models from text and photos.