{"data":{"slug":"adithya-s-k-ai-engineering-academy","name":"AI-Engineering.academy","tagline":"Mastering Applied AI, One Concept at a Time","github_url":"https://github.com/adithya-s-k/AI-Engineering.academy","owner":"adithya-s-k","repo":"AI-Engineering.academy","owner_avatar_url":"https://avatars.githubusercontent.com/u/27956426?v=4","primary_language":"Jupyter Notebook","stars":2377,"forks":276,"topics":["fine-tuning","finetuning","finetuning-llms","inference","large-language-models","llm","python","quantization"],"archived":false,"github_pushed_at":"2026-02-27T19:08:42+00:00","maintenance_label":"Slowing","stars_delta_30d":14,"url":"https://www.graphcanon.com/tools/adithya-s-k-ai-engineering-academy","markdown_url":"https://www.graphcanon.com/tools/adithya-s-k-ai-engineering-academy.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/adithya-s-k-ai-engineering-academy","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=adithya-s-k-ai-engineering-academy","description":"Mastering Applied AI, One Concept at a Time ","homepage_url":"https://aiengineering.academy","license":"MIT","open_issues":7,"watchers":22,"ai_summary":"Educational content focused on practical applications of AI concepts such as fine-tuning and inference with large language models.","readme_excerpt":"### 4. [Deployment](./docs/Deployment/) 📍 _Coming Soon_\n\nTake your AI models from laptop to production\n\n- Cloud deployment strategies\n- Performance optimization\n- Scaling considerations\n- Monitoring and maintenance\n\n---\n\n## 🚀 Getting Started\n\n1. **Choose Your Path**: Select a learning track that matches your goals\n2. **Follow the Structure**: Complete modules in the recommended order\n3. **Practice**: Implement the concepts through provided exercises\n4. **Build**: Create your own projects using the knowledge gained\n5. **Share**: Contribute to the community and help others learn\n\n---\n\n## 📝 License\n\nThis project is licensed under the terms of the MIT license. See the [LICENSE](LICENSE) file for details.\n\n---\n\n<div align=\"center\">\n  <p>An initiative by <a href=\"https://cognitivelab.in/\" target=\"_blank\">CognitiveLab</a></p>\n  <p>Made with ❤️ for the AI community</p>\n</div>","github_created_at":"2023-10-05T07:04:25+00:00","created_at":"2026-07-11T11:38:13.801085+00:00","updated_at":"2026-08-24T00:01:40.77579+00:00","categories":[{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"fine-tuning","name":"fine-tuning"},{"slug":"inference","name":"inference"},{"slug":"large-language-models","name":"large language models"},{"slug":"quantization","name":"quantization"}],"trust":{"provenance":{"is_fork":false,"github_id":700724064,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-24T00:01:40.068Z","maintenance":{"label":"Slowing","score":36,"methodology":"github_public_v1","releases_90d":0,"days_since_push":177,"last_release_at":null,"stars_delta_30d":14,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:38:15.061Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-24T00:01:40.515Z"},"languages":{"value":["jupyter notebook"],"source":"github.language","observed_at":"2026-08-24T00:01:40.515Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-08-24T00:01:40.515Z"}},"decision_facts":{"hosting":{"model":"self_hosted","summary":"The content is accessible directly through Jupyter Notebooks and does not require the setup of a separate server or environment."},"pricing":{"model":"freemium","summary":"Currently freely available, but as more features are added, some advanced modules might be behind a paywall."},"requirements":null,"constraints":{"hosting_model":"self_hosted","pricing_model":"freemium"},"when_to_use":["- When you need hands-on, guided tutorials to understand how to fine-tune large language models with a focus on practical applications.","- If your team requires consistent updates on the latest techniques in AI engineering through curated content that's accessible via Jupyter Notebooks.","- For developers specifically working with Python and looking for immediate implementation insights within educational materials."],"when_not_to_use":["- Avoid this resource if you are seeking theoretical deep-dive content without practical applications; the focus here is on hands-on learning.","- If your goal is to explore a wide range of AI-related topics beyond language models and inference, as this repository specializes narrowly in these areas.","- Not suitable for individuals needing real-time personalized guidance from experts but rather prefer pre-crafted educational materials."],"source":"enrich:decision_facts","observed_at":"2026-07-12T17:52:24.535Z"},"constraint_facets":{"hosting_model":"self_hosted","pricing_model":"freemium"},"decision_summary":[{"label":"Hosting","value":"self hosted - The content is accessible directly through Jupyter Notebooks and does not require the setup of a separate server or environment."},{"label":"Pricing","value":"freemium - Currently freely available, but as more features are added, some advanced modules might be behind a paywall."},{"label":"Adopt for","value":"AI-Engineering.academy is an educational content repository specialized in the practical application of AI concepts using Jupyter Notebooks. 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