Data Science
Data Science and Engineering Fundamentals. Deep-dive into Data Quality, Reliability, Architecture, Warehousing, Dimensional Modeling, and more!.
Course Description
In today’s rapidly ...
Machine Learning in R & Predictive Models | 3 Courses in 1. Supervised & unsupervised machine learning in R, clustering in R, predictive models in R by many labs, understand theory.
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Object Detection & Image Classification with Pytorch & SSD, Building object detection system, image classification and image segmentation models using Pytorch, CNN, YOLOv, and SSD.
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Generative AI Skillpath: Zero to Hero in Generative AI, Complete course on Generative AI: Prompting Engineering, Running LLMs locally (Ollama), Building AI apps using LangChain.
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Foundations of Machine Learning: A Beginner’s Journey, Learn basics concepts of ML, deep learning, and AI tools with practical examples and beginner-friendly explanitions..
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Data Analyst Masterclass: Learn AI Business Insights, Master Excel, SQL, Power BI & Python to uncover AI-powered business insights and boost your data-driven career today!.
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Complete RAG Bootcamp: Build, Optimize, and Deploy AI Apps, Learn to build intelligent, retrieval-powered AI systems using LangChain, LlamaIndex, and real-world RAG workflows.
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Ultimate RAG Bootcamp Using Langchain,LangGraph & Langsmith, Build powerful RAG pipelines: Traditional, Advanced, Multimodal & Agentic AI with LangChain,LangGraph and Langsmith.
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Complete Generative AI Course With Langchain and Huggingface, Complete Guide to Building, Deploying, and Optimizing Generative AI with Langchain and Huggingface.
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Full-Stack AI Engineer: Python, ML, Deep Learning & GenAI, Master Python, Machine Learning, DL, MLOps, and Gen AI through hands-on projects to become a Full-Stack AI Engineer.
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Complete RAG Bootcamp: Build, Optimize, and Deploy AI Apps. Learn to build intelligent, retrieval-powered AI systems using LangChain, LlamaIndex, and real-world RAG workflows.
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