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Udemy - Principal ML Engineer 2026 - Agentic and Sovereign Systems

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Title: Udemy - Principal EngineerGroup: NOGRPYear: 2026Source: Udemy
Info Hash
4A466580BD3FEC567D9F00368C6DB488BDC8C14A
Source
Unverified
Total Size
1.69 GB
Total Files
100
Seeders
5
Leechers
8
Health
0.56
Score
18
Type
Bookware

File List

FileSize
Get Bonus Downloads Here.url180 B
~Get Your Files Here !/1 - Introduction/1. Introduction.mp497.35 MB
~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/100. Lab 10 — Autonomous ML Pipelines.html13.38 KB
~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/90. Advanced AI Systems & Autonomy.mp4152.45 MB
~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/91. Lab 1 — Reinforcement Learning Fundamentals.html12.74 KB
~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/92. Lab 2 — Deep Reinforcement Learning Systems.html14.65 KB
~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/93. Lab 3 — Generative Models (GANs, VAEs).html15.33 KB
~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/94. Lab 4 — Diffusion Models Architecture.html12.61 KB
~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/95. Lab 5 — LLM Agent Systems.html12.96 KB
~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/96. Lab 6 — Multi-Agent Coordination Protocols.html12.95 KB
~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/97. Lab 7 — Distributed Training Systems.html13.31 KB
~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/98. Lab 8 — GPU Cluster Optimization.html12.92 KB
~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/99. Lab 9 — Model Compression & Quantization.html13.31 KB
~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/101. Sovereign AI & PhD-Level Capstone.mp4161.32 MB
~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/102. Lab 1 — AI Security & Adversarial Robustness.html13.76 KB
~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/103. Lab 2 — Data Sovereignty Architecture.html13.21 KB
~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/104. Lab 3 — Compliance-Aware ML Systems.html13.76 KB
~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/105. Lab 4 — Federated Learning Systems.html13.03 KB
~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/106. Lab 5 — On-Device ML Deployment.html13.79 KB
~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/107. Lab 6 — Cross-Border Data Pipeline Design.html14.18 KB
~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/108. Lab 7 — Enterprise AI Governance Systems.html13.43 KB
~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/109. Lab 8 — Self-Healing ML Infrastructure.html14.93 KB
~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/110. Lab 9 — Autonomous AI Operating System Design.html12.89 KB
~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/111. Lab 10 — PhD-Level Global ML Capstone System.html30.12 KB
~Get Your Files Here !/12 - Conclusion/112. Conclusion.mp452.18 MB
~Get Your Files Here !/2 - ML Foundations & Environment Mastery/10. Lab 08 — Statistics for Model Evaluation.html12.7 KB
~Get Your Files Here !/2 - ML Foundations & Environment Mastery/11. Lab 09 — First Linear Regression Model from Scratch.html12.41 KB
~Get Your Files Here !/2 - ML Foundations & Environment Mastery/12. Lab 10 — First End-to-End ML Pipeline Execution.html11.72 KB
~Get Your Files Here !/2 - ML Foundations & Environment Mastery/2. ML Foundations & Environment Mastery.mp4169.76 MB
~Get Your Files Here !/2 - ML Foundations & Environment Mastery/3. Lab 01 — Production-Grade ML Environment Setup.html12.95 KB
~Get Your Files Here !/2 - ML Foundations & Environment Mastery/4. Lab 02 — Python for High-Performance ML Engineering.html12.73 KB
~Get Your Files Here !/2 - ML Foundations & Environment Mastery/5. Lab 03 — NumPy Vectorized Computation Deep Dive.html13.03 KB
~Get Your Files Here !/2 - ML Foundations & Environment Mastery/6. Lab 04 — Pandas for Large-Scale Data Handling.html12.64 KB
~Get Your Files Here !/2 - ML Foundations & Environment Mastery/7. Lab 05 — Data Visualization for Model Insight.html12.22 KB
~Get Your Files Here !/2 - ML Foundations & Environment Mastery/8. Lab 06 — Linear Algebra for ML Systems.html12.98 KB
~Get Your Files Here !/2 - ML Foundations & Environment Mastery/9. Lab 07 — Probability Foundations for Engineers.html12.21 KB
~Get Your Files Here !/3 - Data Engineering & Feature Systems/13. Data Engineering & Feature Systems.mp4137.03 MB
~Get Your Files Here !/3 - Data Engineering & Feature Systems/14. Lab 1 — Data Cleaning at Scale.html11.34 KB
~Get Your Files Here !/3 - Data Engineering & Feature Systems/15. Lab 2 — Missing Data Imputation Strategies.html13.36 KB
~Get Your Files Here !/3 - Data Engineering & Feature Systems/16. Lab 3 — Feature Encoding Architectures.html13.28 KB
~Get Your Files Here !/3 - Data Engineering & Feature Systems/17. Lab 4 — Feature Scaling and Normalization Systems.html13.79 KB
~Get Your Files Here !/3 - Data Engineering & Feature Systems/18. Lab 5 — Outlier Detection Pipelines.html13.96 KB
~Get Your Files Here !/3 - Data Engineering & Feature Systems/19. Lab 6 — Data Leakage Prevention Techniques.html13.39 KB
~Get Your Files Here !/3 - Data Engineering & Feature Systems/20. Lab 7 — Feature Engineering for Tabular Intelligence.html13.03 KB
~Get Your Files Here !/3 - Data Engineering & Feature Systems/21. Lab 8 — Building Reusable Feature Pipelines.html13.54 KB
~Get Your Files Here !/3 - Data Engineering & Feature Systems/22. Lab 9 — Introduction to Feature Stores.html14.1 KB
~Get Your Files Here !/3 - Data Engineering & Feature Systems/23. Lab 10 — Production Data Validation Systems.html13.63 KB
~Get Your Files Here !/4 - Classical Machine Learning Algorithms/24. Classical Machine Learning Algorithms.mp4144.1 MB
~Get Your Files Here !/4 - Classical Machine Learning Algorithms/25. Lab 1 — Logistic Regression in Production Context.html13.33 KB
~Get Your Files Here !/4 - Classical Machine Learning Algorithms/26. Lab 2 — Decision Trees Architecture Deep Dive.html12.72 KB
~Get Your Files Here !/4 - Classical Machine Learning Algorithms/27. Lab 3 — Random Forest Optimization.html13.74 KB
~Get Your Files Here !/4 - Classical Machine Learning Algorithms/28. Lab 4 — Gradient Boosting Systems (XGBoost LightGBM).html12.73 KB
~Get Your Files Here !/4 - Classical Machine Learning Algorithms/29. Lab 5 — Support Vector Machines at Scale.html12.99 KB
~Get Your Files Here !/4 - Classical Machine Learning Algorithms/30. Lab 6 — KNN Optimization Strategies.html13.8 KB
~Get Your Files Here !/4 - Classical Machine Learning Algorithms/31. Lab 7 — Naive Bayes in Real Applications.html12.79 KB
~Get Your Files Here !/4 - Classical Machine Learning Algorithms/32. Lab 8 — Clustering Algorithms (K-Means, DBSCAN).html13.86 KB
~Get Your Files Here !/4 - Classical Machine Learning Algorithms/33. Lab 9 — Dimensionality Reduction (PCA, t-SNE).html12.64 KB
~Get Your Files Here !/4 - Classical Machine Learning Algorithms/34. Lab 10 — Model Selection Frameworks.html13.38 KB
~Get Your Files Here !/5 - Model Evaluation & Reliability/35. Model Evaluation & Reliability.mp4158.81 MB
~Get Your Files Here !/5 - Model Evaluation & Reliability/36. Lab 1 — Train Test Validation Architecture Design.html13.36 KB
~Get Your Files Here !/5 - Model Evaluation & Reliability/37. Lab 2 — Cross Validation at Scale.html13.57 KB
~Get Your Files Here !/5 - Model Evaluation & Reliability/38. Lab 3 — Precision-Recall Engineering.html13.84 KB
~Get Your Files Here !/5 - Model Evaluation & Reliability/39. Lab 4 — ROC-AUC System Design.html13.9 KB
~Get Your Files Here !/5 - Model Evaluation & Reliability/40. Lab 5 — Bias-Variance Diagnostics.html13.1 KB
~Get Your Files Here !/5 - Model Evaluation & Reliability/41. Lab 6 — Overfitting Control Systems.html13.99 KB
~Get Your Files Here !/5 - Model Evaluation & Reliability/42. Lab 7 — Model Drift Detection.html12.8 KB
~Get Your Files Here !/5 - Model Evaluation & Reliability/43. Lab 8 — Explainability with SHAP LIME.html13.75 KB
~Get Your Files Here !/5 - Model Evaluation & Reliability/44. Lab 9 — Model Monitoring Pipelines.html14.37 KB
~Get Your Files Here !/5 - Model Evaluation & Reliability/45. Lab 10 — Production Model Validation Gates.html12.62 KB
~Get Your Files Here !/6 - Deep Learning Foundations/46. Deep Learning Foundations.mp4207.62 MB
~Get Your Files Here !/6 - Deep Learning Foundations/47. Lab 1 — Neural Network Architecture Fundamentals.html12.31 KB
~Get Your Files Here !/6 - Deep Learning Foundations/48. Lab 2 — Backpropagation Engineering Deep Dive.html13.37 KB
~Get Your Files Here !/6 - Deep Learning Foundations/49. Lab 3 — PyTorch Production Setup.html12.98 KB
~Get Your Files Here !/6 - Deep Learning Foundations/50. Lab 4 — TensorFlow vs PyTorch Systems Comparison.html13 KB
~Get Your Files Here !/6 - Deep Learning Foundations/51. Lab 5 — Activation Functions Optimization.html12.59 KB
~Get Your Files Here !/6 - Deep Learning Foundations/52. Lab 6 — Loss Functions Engineering.html12.9 KB
~Get Your Files Here !/6 - Deep Learning Foundations/53. Lab 7 — Optimizers (Adam, SGD, RMSProp).html13.3 KB
~Get Your Files Here !/6 - Deep Learning Foundations/54. Lab 8 — Batch Normalization Systems.html14.27 KB
~Get Your Files Here !/6 - Deep Learning Foundations/55. Lab 9 — Regularization Techniques.html13.6 KB
~Get Your Files Here !/6 - Deep Learning Foundations/56. Lab 10 — Training First Deep Neural Network.html13.35 KB
~Get Your Files Here !/7 - Computer Vision Systems/57. Computer Vision Systems.mp4128.84 MB
~Get Your Files Here !/7 - Computer Vision Systems/58. Lab 1 — CNN Architecture Fundamentals.html13.26 KB
~Get Your Files Here !/7 - Computer Vision Systems/59. Lab 2 — Image Preprocessing Pipelines.html14.11 KB
~Get Your Files Here !/7 - Computer Vision Systems/60. Lab 3 — Transfer Learning Systems.html13.06 KB
~Get Your Files Here !/7 - Computer Vision Systems/61. Lab 4 — Object Detection Architectures.html13.77 KB
~Get Your Files Here !/7 - Computer Vision Systems/62. Lab 5 — Image Segmentation Models.html14.32 KB
~Get Your Files Here !/7 - Computer Vision Systems/63. Lab 6 — Lab #56 — YOLO-Based Real-Time Detection (Production-Grade Edge AI Pipel.html13.43 KB
~Get Your Files Here !/7 - Computer Vision Systems/64. Lab 7 — Vision Transformers (ViT).html13.71 KB
~Get Your Files Here !/7 - Computer Vision Systems/65. Lab 8 — GPU Acceleration for Vision Models.html12.07 KB
~Get Your Files Here !/7 - Computer Vision Systems/66. Lab 9 — Edge Vision Deployment.html12.35 KB
~Get Your Files Here !/7 - Computer Vision Systems/67. Lab 10 — Vision Model Optimization.html13.69 KB
~Get Your Files Here !/8 - NLP & Transformer Systems/68. NLP & Transformer Systems.mp4155.47 MB
~Get Your Files Here !/8 - NLP & Transformer Systems/69. Lab 1 — NLP Pipeline Architecture.html12.61 KB
~Get Your Files Here !/8 - NLP & Transformer Systems/70. Lab 2 — Text Preprocessing at Scale.html14.19 KB
~Get Your Files Here !/8 - NLP & Transformer Systems/71. Lab 3 — Word Embeddings (Word2Vec, GloVe).html12.84 KB
~Get Your Files Here !/8 - NLP & Transformer Systems/72. Lab 4 — RNN and LSTM Systems.html13.32 KB
~Get Your Files Here !/8 - NLP & Transformer Systems/73. Lab 5 — Attention Mechanisms.html12.99 KB
~Get Your Files Here !/8 - NLP & Transformer Systems/74. Lab 6 — Transformer Architecture Deep Dive.html13.97 KB
~Get Your Files Here !/8 - NLP & Transformer Systems/75. Lab 7 — BERT-based Models.html14.19 KB
~Get Your Files Here !/8 - NLP & Transformer Systems/76. Lab 8 — GPT-style Model Internals.html13.4 KB

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