Theory
1,949 items in 14 lists
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Bing Webmasters bing.com
Allows webmasters to add their websites to the Bing index crawler.
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AppLinks applinks.org
Apps that link to your content can then use this metadata to deep-link into your app.
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BuzzSumo app.buzzsumo.com
Find the most shared content for any topic or domain.
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Twitter Analytics analytics.twitter.com
Measure and boost your impact on Twitter.
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Search engine optimization 2016: Learn SEO with smart internet marketing strategies amazon.com
Learn SEO strategies to rank at the top of Google with SEO 2016.
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Search Engine Optimization All-in-One For Dummies amazon.com
Bruce Clay is one of the most respected figures in the SEO community, teaching classes and workshops at all the major conferences. Like the ‘Art of SEO,’ this book is actually pretty technical and probably not your best easy, first guide, despite being part of the ‘Dummies…
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SEO Step-by-Step - The Complete Beginner's Guide to Getting Traffic from Google amazon.com
Also starts with keywords and covers ON PAGE and OFF PAGE SEO. Emphasizes the importance of speed, and has a nice appendix with SEO resources, glossary, and links.
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SEO: Marketing Strategies to Dominate the First Page amazon.com
Introduction to Google Analytics, Webmaster, Website traffic, Adwords, Pay per click, Website promotion and Search engine optimization.
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SEO Fitness Workbook amazon.com
Step-by-step book on SEO, starting with goals, going through on page SEO such as page tags, and ending up with off page SEO such as link-building and social mentions.
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SEO 2016: Learn Search Engine Optimization amazon.com
A Comprehensive Must-Have Guide to SEO in Today's Competitive Search Environment.
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Ahrefs ahrefs.com
Analyze websites, track social media, build backlinks - Ahrefs has you covered. Try our marketing and SEO tools Site Explorer and Content Explorer today!
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Keyword Planner adwords.google.com
Plan your Search Network campaigns and learn what your customers are looking for.
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Karpathy's Neural Networks: Zero to Hero youtube.com
Build neural networks and language models from first principles.
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Speech and Language Processing web.stanford.edu
The continuously updated NLP reference by Dan Jurafsky and James Martin.
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Reinforcement Learning: An Introduction web.stanford.edu
Sutton and Barto's foundational treatment of reinforcement learning concepts and algorithms.
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Understanding Deep Learning udlbook.github.io
Theory, intuition, and practical notebooks by Simon Prince.
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The 100-Page Language Models Book thelmbook.com
A concise, technical introduction by Andriy Burkov.
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Promptfoo promptfoo.dev
Test cases, assertions, model comparisons, and red-team checks for LLM applications.
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LLM Engineer's Handbook packtpub.com
LLMOps, fine-tuning, serving, and production workflows.
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Designing Machine Learning Systems oreilly.com
Scalable, maintainable machine learning systems by Chip Huyen.
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AI Engineering oreilly.com
Building applications with foundation models by Chip Huyen.
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Running Agents openai.github.io
Lifecycle, session, exception, and durable-execution patterns in the OpenAI Agents SDK.
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Human-in-the-Loop openai.github.io
Pause, inspect, approve, reject, and resume tool calls without losing agent state.
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OpenAI Agents SDK openai.github.io
A small SDK for tools, handoffs, guardrails, tracing, and agent orchestration.
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Codex Orchestration with Symphony openai.com
A reference architecture that turns project work into isolated, observable coding-agent runs.
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Harness Engineering openai.com
OpenAI's field report on building software with coding agents, repository constraints, automated checks, and human steering.
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Model Context Protocol modelcontextprotocol.io
The open specification for connecting AI applications to external tools, data sources, prompts, and interactive apps.
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Made With ML madewithml.com
An open course on designing, developing, deploying, and iterating on production ML systems.
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Hands-On Large Language Models llm-book.com
A visual and practical guide by Jay Alammar and Maarten Grootendorst.
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Microsoft Agent Framework learn.microsoft.com
Microsoft's successor to AutoGen and Semantic Kernel for agents and graph-based workflows.
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DeepLearning.AI Short Courses learn.deeplearning.ai
Focused courses on current generative AI engineering techniques.
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Langfuse langfuse.com
Tracing, evaluation, prompt management, and metrics for LLM applications.
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MIT 6.S191: Introduction to Deep Learning introtodeeplearning.com
Deep learning foundations and applications.
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Hugging Face LLM Course huggingface.co
Transformers, fine-tuning, datasets, and modern NLP tooling.
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Google Agent Development Kit google.github.io
Google's framework for developing and evaluating agents.
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Blueprint github.com
An open-source set of focused agent skills for designing, implementing, testing, reviewing, and shipping software changes.
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OWASP Top 10 for LLM Applications genai.owasp.org
Risks and mitigations for developing and deploying generative AI applications.
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Full Stack Deep Learning fullstackdeeplearning.com
The full lifecycle of building and shipping AI products.
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vLLM docs.vllm.ai
An inference and serving engine for language models.
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Ragas docs.ragas.io
Evaluation and experimentation for retrieval and generative AI applications.
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LlamaIndex docs.llamaindex.ai
Data ingestion, indexing, retrieval, and agent workflows.
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LiteLLM docs.litellm.ai
A model gateway and unified interface for multiple model providers.
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LangGraph docs.langchain.com
Low-level orchestration for long-running, stateful agents.
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Haystack docs.haystack.deepset.ai
Modular pipelines for retrieval and generative AI applications.
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GitHub Copilot coding agent docs.github.com
An asynchronous agent that works from GitHub issues and opens pull requests.
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Anthropic Prompt Engineering docs.anthropic.com
Techniques for defining success criteria, testing prompts, and improving model behaviour.
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OpenHands docs.all-hands.dev
An open-source platform for running software development agents locally or in the cloud.
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Cursor CLI cursor.com
A terminal agent connected to Cursor's editor and cloud workflows.
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Stanford CS336: Language Modeling from Scratch cs336.stanford.edu
Build language models from data preparation through evaluation and deployment.
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OpenAI Cookbook cookbook.openai.com
Code examples for structured outputs, tool use, retrieval, evals, and other LLM application patterns.
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