21 Lessons, Get Started Building with Generative AI
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24 Lessons, 12 Weeks, Get Started as a Web Developer
18 Lessons to Get Started Building AI Agents
- agentic-ai
- agentic-framework
- agentic-rag
- ai-agents
Learn how to develop, deploy and iterate on production-grade ML applications.
Learn how to design systems at scale and prepare for system design interviews
- architecture
- distributed-systems
- system-design
- system-design-interview
open source training courses about distributed database and distributed systems
- distributed-systems
- rust
- golang
- talent-plan
Get started using GitHub in less than an hour.
- git
- branches
- commits
- pull-requests
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
Class materials for a distributed systems lecture series
TranslatedMy continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides), with video links
Sample code for Channel 9 Python for Beginners course
The repository host gives no description.
Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.
A course to build distributed key-value service based on TiKV model
This repo is creating providing students easy access to all the programs taught under Codehelp's DSA Busted Series.
Curated lessons on getting started building agents with Copilot Studio
Codes of my MOOC Course <Play with Algorithms>, Both in C++ and Java language. Updated contents and practices are also included. 我在慕课网上的课程《算法与数据结构》示例代码，包括C++和Java版本。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
- mooc
- imooc
- algorithms
Claude Code guide in three levels, Beginner to Advanced: hands-on lessons with checked exercises, every volatile fact cited to its source. Independent community guide.
- agent-skills
- agentic-coding
- ai-agents
- anthropic
Training materials and labs for a "Getting Started" level course on COBOL
- cobol-programming
- training-materials
- labs
- cobol
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Basic Sources for MIT 6.824 Distributed Systems Class
TranslatedCovers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack LLM learning
Stanford ACM-ICPC related materials
Guides and resources for AI engineers: an agents course, five handbooks, a hands-on second-brain project and a vetted reading list.