קורסים
485 קורסים
Machine Learning Engineer: ML and Deep Learning Models
Master ML and deep learning skills—from supervised models to PyTorch neural networks—covering vision, sequences, and generative tasks to prepare for AI engineering roles.
Building an AI Cooking Helper with Django
Explore building a smart AI-powered cooking API with Django, covering database modeling, search endpoints, AI recipe generation, reviews, text-to-speech, and data export.
Foundations of Reinforcement Learning
Explore reinforcement learning from classical foundations to deep learning methods and reward design, covering MDPs, Q-learning, neural networks, policy gradients, and safety-focused reward programming.
Data Preparation & Applied Machine Learning
Master data preparation and machine learning skills—clean messy datasets, handle missing values, build supervised ML models, and gain hands-on confidence for data science and AI roles.
AI Applications for Mental Health and Clinical Practice
Explore how AI is transforming mental health care, from clinical decision-making and language-based assessments to precision treatment and psychotherapy, equipping you to critically evaluate AI tools in clinical settings.
Mastering SAP Data Architecture
Master SAP Data Architecture by unifying SAP Business Data Cloud with TOGAF and DAMA-DMBOK frameworks, designing AI-ready enterprise architectures, and integrating with Databricks, Snowflake, and Google BigQuery.
Understanding and Evaluating AI for Mental Health
Explore AI fundamentals—Machine Learning, NLP, and Large Language Models—and develop critical skills to evaluate AI tools for safety, fairness, and reliability in mental health practice.
Enterprise AI Strategy and Investment
Master Microsoft Entra identity management, hybrid access, and AI-powered security with Copilot. Configure authentication, Conditional Access, and enterprise app security while exploring real-world use cases.
Local AI Revolution: Ollama and OpenClaw
Master AI-assisted development with Claude Code using spec-driven development, TDD, and context engineering to build maintainable, production-quality software.
Microsoft Copilot, Entra Identity & Access Management
Explore responsible AI strategy by mastering generative AI fundamentals, identifying risks, and applying workplace guidelines—no technical background required—across business, HR, marketing, and leadership roles.
Advancing Your Career in Production AI
Unlock strategic career advancement in production AI by building portfolios, mastering technical interviews, and positioning yourself for senior roles like MLOps Engineer and AI Architect.
AI in Social Science Research
Explore how generative AI tools can enhance academic research in social sciences, covering literature review, data analysis, ethical AI use, and research dissemination over six weeks.