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Handpicked courses to accelerate your development journey
Learn prompt engineering techniques to build AI-powered applications with ChatGPT and GPT-4.
Free comprehensive course on NLP and transformers using Hugging Face libraries.
Build LLM-powered applications with LangChain framework and prompt engineering.
Learn to build autonomous AI agents with LLMs, function calling, and tool use.
Fast.ai's practical approach to deep learning - learn by building real projects.
Master front-end and back-end development with React, Node.js, and MongoDB. Build production-ready applications.
Build server-side rendered React applications with Next.js 14, including App Router, Server Components, and more.
Comprehensive ML course by Andrew Ng covering supervised and unsupervised learning, neural networks, and best practices.
Master generative AI and LLMs from foundational concepts to practical applications.
Comprehensive course to prepare for AWS Solutions Architect certification. Learn cloud architecture and AWS services.
Build full-stack apps with Next.js using the official Next.js interactive course.
Free Python basics course covering syntax, data types, and core programming concepts.
Free DevOps course covering CI/CD, containers, and cloud basics.
Free AWS course covering cloud basics, EC2, S3, and IAM.
Official TypeScript documentation covering all language features from basics to advanced.
Learn version control with Git and GitHub from basics to advanced workflows.
Master utility-first CSS with comprehensive Tailwind CSS documentation and tutorials.
Learn Node.js fundamentals and build server-side applications with official documentation.
Free Docker tutorial covering containers, images, and basic orchestration concepts.
Free MongoDB course covering database fundamentals, CRUD operations, and aggregation.
Learn Firebase services including authentication, real-time database, and hosting.
Learn GraphQL query language and build efficient APIs with official documentation.
Master container orchestration with Docker and Kubernetes. Deploy scalable microservices applications.
Learn Python for data analysis, visualization, and machine learning with NumPy, Pandas, and Scikit-learn.
Learn TensorFlow fundamentals for building and training machine learning models.
Get started with PyTorch for deep learning and neural network development.
Learn to use OpenAI APIs with practical examples and best practices.
Google's fast-paced introduction to machine learning with TensorFlow APIs.
Learn vector databases and embeddings for semantic search and RAG applications.
Note: These are honest recommendations. More courses added regularly! 🚀