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New liveProjects—just $10 EACH!Vision Models for Classification and YOLO Segmentation
Build an AI pipeline to help wildlife organizations identify and monitor elephants in images. You’ll create a CNN to classify Asian vs. African elephants, improve accuracy with transfer learning (Xception and MobileNet), and use YOLOv8 segmentation for precise detection and localization, gaining hands-on experience with CNNs, transfer learning, and real-world computer vision. [Read more] AI-Powered Document Assistant: From Text to Insights
Build an AI-powered document assistant that helps Strategic Insights Partners process large volumes of unstructured business documents. Using OpenAI’s API, Python, and tools like PyPDF2 and pandas, you’ll implement text extraction, RAG-based question answering, vector search, and interactive dashboards, delivering a client-ready app that turns complex documents into actionable insights. [Read more] Mastering Algorithms: From Smart Search to Stock Trading
Algorithms power effective software by providing clear, step-by-step solutions to common problems, and mastering them is essential for both real-world coding and technical interviews. In this series of liveProjects, you’ll work as part of an IT team tasked with improving business efficiency and customer experience through hands-on algorithmic solutions. Each project applies core algorithm concepts to practical scenarios, helping you turn theory into working code. [Read more] From Prompts to an Agentic System
As the public face of an organization, a chatbot reflects its values and character. In this liveProject series, you’ll help a local pet refuge by building an AI-powered assistant that shares its knowledge and compassion. Starting with prompt engineering and persona design, you’ll add curated search, multi-use case handling, and callback scheduling using OpenAI’s API, LangChain, and LangGraph. By the end, you’ll have a sophisticated AI agent capable of empathetic, 24/7 pet care guidance with intelligent routing. [Read more] Build Your LLM and Fine-Tune it for Real Tasks
In this liveProject series, you’ll take on the role of a data scientist at X Education, tasked with building a self-hosted LLM to cut costs and boost productivity. You’ll code the Llama 3.2 architecture from scratch to master transformers, then work to fine-tune it for lead classification for the marketing team, and adapt it for HTML code generation to support your overworked developer colleagues. Using Unsloth to speed up training on free Colab GPUs, you’ll finish with a fully working LLM that’s flexible, efficient, and free from vendor lock-in. [Read more] liveVideos from Talk Python—just $10 EACH!
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