RAG with LlamaIndex Learning Path

A collection of courses by Weaviate to master their vector database. It includes modules on text data, multimodal data, vector indexes, and more. The courses are project-based and designed to provide core knowledge and essential skills for building with Weaviate.

An extensive course on advanced Retrieval Augmented Generation (RAG) techniques using Llama Index and LangChain, created in collaboration with Llama Index. It covers industry-specific projects and features like Deep Memory for improved retrieval accuracy.

This course focuses on tuning Elasticsearch for low latency and high performance. It covers the index distribution architecture, cluster configuration, shards and replicas, similarity models, and advanced search techniques to improve the performance of search queries.

Welcome to Modern Computer Vision TensorFlow, Keras & PyTorch! 2025AI and Deep Learning are transforming industries and one of the most intriguing parts of this AI revolution is in Computer Vision!Update for 2025: Modern Computer Vision Course We're excited to bring you the latest updates for our 2024 modern computer vision course. Dive into an enriched curriculum covering the most advanced and relevant topics in the field:YOL Ov8: Cutting-edge Object RecognitionDINO-GPT4V: Next-Gen Vision Models Meta CLIP for Enhanced Image Analysis Detectron2 for Object Detection Segment Anything Face Recognition Technologies Generative AI Networks for Creative Imaging Transformers in Computer Vision Deploying & Productionizing Vision Models Diffusion Models for Image Processing Image Generation and Its Applications Annotation Strategy for Efficient Learning Retrieval Augmented Generation (RAG)Zero-Shot Classifiers for Versatile Applications Using Roboflow: Streamlining Vision Workflows What is Computer Vision?But what exactly is Computer Vision and why is it so exciting? Well, what if Computers could understand what they’re seeing through cameras or in images? The applications for such technology are endless from medical imaging, military, self-driving cars, security monitoring, analysis, safety, farming, industry, and manufacturing! The list is endless. Job demand for Computer Vision workers are skyrocketing

Unlock the power of image- and video-based AI in 2025 with 20+ real-time projects that guide you from foundational theory to fully functional applications. Designed for engineering and science students, STEM graduates, and professionals switching into AI, this hands-on course equips you with end-to-end computer vision skills to build a standout portfolio.Key Highlights:Environment Setup & Basics: Install Python, configure VS Code, and master OpenCV operations—image I/O, color spaces, resizing, thresholding, filters, morphology, bitwise ops, and histogram equalization.Core & Advanced Techniques: Implement edge detection (Sobel, Canny), contour/corner/keypoint detection, texture analysis, optical flow, object tracking, segmentation, and OCR with Tesseract.Deep Learning Integration: Train and deploy TensorFlow/Keras models (Efficient Net-B0) alongside YOL Ov7-tiny and YOL Ov8 for robust detection tasks.GUI Development: Build interactive Tkinter interfaces to visualize live video feeds, detection results, and system dashboards.20+ Hands-On Projects Include:Smart Face Attendance with face enrollment, embedding extraction, model training, and GUI integration.Driver Drowsiness Detection using EAR/MAR algorithms and real-time alert dashboards.YOLO Object & Weapon Detection pipelines for live inference and visualization.People Counting & Entry/Exit Tracking with configurable line-coordinate logic.License-Plate & Traffic Sign Recognition leveraging Roboflow annotations and custom model training.Intrusion & PPE Detection for workplace safety monitoring.Accident & Fall Detection

Unlock the Power of Generative AI with ChatGPT – No Experience Needed!Welcome to Generative AI with ChatGPT for Beginners, your step-by-step guide to understanding and using one of today’s most powerful AI tools. Whether you're a student, professional, or simply AI-curious, this course will take you from basic concepts to hands-on applications with ease.We start with foundational topics—what is Artificial Intelligence, and how do Machine Learning, Deep Learning, and NLP (Natural Language Processing) relate? You'll gain a solid understanding of LL Ms (Large Language Models), Transformers, tokenization, and key concepts like temperature, top-k, and top-p sampling.Next, we dive into how AI models are built, trained, and fine-tuned. Learn the difference between supervised, unsupervised, and reinforcement learning, and explore concepts like bias, overfitting, underfitting, and analytics types.Then it’s time to get practical. Through real-world examples, you'll learn how to use ChatGPT for writing, planning, data generation, image prompting, and even creative tasks. You'll explore prompt engineering, structure design, and how to verify vs. generate information effectively.We go further with advanced topics like Retrieval-Augmented Generation (RAG), embeddings, vector databases, and multimodal and diffusion models. You'll learn where and how ChatGPT gets its information—and how to guide it responsibly.Finally, we address the big questions: ethical use, hallucinations, job impact, privacy, and how to use AI responsibly with human oversight.Each section includes quizzes, use cases, and interactive hands-on demos to ensure your learning sticks.By the end of the course, you’ll not only understand how generative AI works—you’ll know how to use it confidently and ethically in everyday life and work.Let’s demystify AI together!