Kurse
78 Kurse
Optimizing, Deploying, and Governing LLMs in the Enterprise
Master the full lifecycle of enterprise LLMs—from data strategies and optimized inferencing to deployment, monitoring, and responsible AI practices—while exploring emerging multimodal trends.
Autonomous Navigation for Flying Robots
You will learn how to infer the position of the quadrotor from its sensor readings and how to navigate it along a trajectory.
AI-Powered Brand Strategy & Marketing Analytics
Master AI-powered brand strategy by combining analytics, predictive models, and tools like ChatGPT and Power BI to build dashboards and make evidence-based branding decisions.
The AI for Ethical Hacking and Cybersecurity Bootcamp
Master AI-powered ethical hacking using ChatGPT, Python, LangChain, and OpenAI API. Build security tools, explore prompt injection, AI-driven phishing, and defenses in hands-on Kali Linux scenarios.
Email Analytics & AI for Marketing Performance
Master AI-powered email analytics, predictive segmentation, attribution modeling, and lifecycle optimization to boost campaign performance and present data-driven insights confidently.
Dragon Copilot (physicians) practical application exercises
Master Dragon Copilot for physicians by building vocabularies, texts, workflows, AI prompts, and templates to streamline clinical documentation and boost speech recognition accuracy.
Advanced Claude Code Features
Master power-user features of Claude Code: manage tool permissions, use Plan Mode for safe refactoring, delegate tasks to subagents, and optimize web access tools effectively.
Capstone Project: Agentic Quality Pipeline
Integrate all learned concepts into a production-ready documentation quality automation system, covering architecture, implementation, testing, and deployment of an agentic quality pipeline.
Mastering advanced AI tooling in Codex
Master advanced AI tooling by configuring Codex as a durable, repo-native agent using AGENTS.md, skills, and subagents orchestration to plan, patch, test, and automate workflows reliably.
Training Neural Networks: the Backpropagation Algorithm
Master the backpropagation algorithm by implementing loss functions, gradient descent, and SGD optimizers to train neural networks using R.
Build a Neural Network from Scratch in R
Master neural network construction in R from neurons to backpropagation, building your own library to tackle real-world ML challenges without relying on black-box solutions.
The Computer Vision Bootcamp
Master Computer Vision by exploring Vision Transformers, Meta's SAM, and deploying scalable pipelines on AWS using Python and production-ready AI infrastructure.