Kurse
18809 Kurse
AI-Cybersecurity Crash Course
Discover how AI transforms cybersecurity through practical applications, threat detection, and defense strategies in this comprehensive crash course.
Gen AI Sales Forecasting and Marketing Analysis
Master AI-driven sales forecasting and marketing analysis using ChatGPT and Google Gemini to predict trends, segment customers, and optimize campaigns with ethical considerations.
Ethical AI: AI essentials for everyone
Explore ethical AI principles, challenges, and responsible use through practical exercises, case studies, and hands-on experience with AI tools for text and image generation.
Intelligent Customer Service
In the intelligent era, this AI-oriented training package meets e-commerce and cross-border customer service needs, cultivating professionals. It integrates online resources like videos, includes generative AI, and updates dynamically.
Aurora Memory Wall - A Decade in Vectors with Amazon Aurora
Discover how to build an AI-powered memory wall using pgvector on Aurora PostgreSQL, transforming 100+ milestones into vectorized memories for semantic exploration and search.
Generative AI for Web Developers
Unlock the transformative power of generative AI tools like ChatGPT and GitHub Copilot to streamline web development workflows, enhance code quality, and boost efficiency.
Generative AI for Developers: Unit 3
Master prompt engineering with ChatGPT through practical exercises in data analysis, code generation, and content creation, plus API integration and custom GPT development.
Generative AI for Developers: Unit 2
Master generative AI tools like ChatGPT and GitHub Copilot to automate Python scripting, enhance data analysis with Jupyter/Pandas, and build web applications efficiently.
Programming Generative AI: Unit 2
Explore advanced generative AI techniques for images and text using CNNs, autoencoders, diffusion models, and transformers with hands-on PyTorch and Hugging Face implementation.
Programming Generative AI: Unit 1
Discover generative AI fundamentals and master PyTorch programming through hands-on tensor manipulation, neural network building, and deep learning model implementation.
Learning Deep Learning: Unit 3
Explore advanced deep learning with BERT, GPT, multimodal networks, and computer vision tasks like object detection using TensorFlow and PyTorch for real-world applications.
Introduction to Transformer Models for NLP: Unit 2
Master BERT and GPT fundamentals through hands-on practice with tokenization, fine-tuning, text generation, semantic search, and multi-task learning for real-world NLP applications.