[ WebToolTip.com ] Udemy - Principal ML Engineer 2026 - Agentic and Sovereign Systems

File Name

Size

Get Bonus Downloads Here.url

180 B

~Get Your Files Here !/1 - Introduction/1. Introduction.mp4

97 MB

~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/100. Lab 10 — Autonomous ML Pipelines.html

13 kB

~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/90. Advanced AI Systems & Autonomy.mp4

152 MB

~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/91. Lab 1 — Reinforcement Learning Fundamentals.html

13 kB

~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/92. Lab 2 — Deep Reinforcement Learning Systems.html

15 kB

~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/93. Lab 3 — Generative Models (GANs, VAEs).html

15 kB

~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/94. Lab 4 — Diffusion Models Architecture.html

13 kB

~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/95. Lab 5 — LLM Agent Systems.html

13 kB

~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/96. Lab 6 — Multi-Agent Coordination Protocols.html

13 kB

~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/97. Lab 7 — Distributed Training Systems.html

13 kB

~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/98. Lab 8 — GPU Cluster Optimization.html

13 kB

~Get Your Files Here !/10 - Advanced AI Systems & Autonomy/99. Lab 9 — Model Compression & Quantization.html

13 kB

~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/101. Sovereign AI & PhD-Level Capstone.mp4

161 MB

~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/102. Lab 1 — AI Security & Adversarial Robustness.html

14 kB

~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/103. Lab 2 — Data Sovereignty Architecture.html

13 kB

~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/104. Lab 3 — Compliance-Aware ML Systems.html

14 kB

~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/105. Lab 4 — Federated Learning Systems.html

13 kB

~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/106. Lab 5 — On-Device ML Deployment.html

14 kB

~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/107. Lab 6 — Cross-Border Data Pipeline Design.html

14 kB

~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/108. Lab 7 — Enterprise AI Governance Systems.html

13 kB

~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/109. Lab 8 — Self-Healing ML Infrastructure.html

15 kB

~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/110. Lab 9 — Autonomous AI Operating System Design.html

13 kB

~Get Your Files Here !/11 - Sovereign AI & PhD-Level Capstone/111. Lab 10 — PhD-Level Global ML Capstone System.html

30 kB

~Get Your Files Here !/12 - Conclusion/112. Conclusion.mp4

52 MB

~Get Your Files Here !/2 - ML Foundations & Environment Mastery/10. Lab 08 — Statistics for Model Evaluation.html

13 kB

~Get Your Files Here !/2 - ML Foundations & Environment Mastery/11. Lab 09 — First Linear Regression Model from Scratch.html

12 kB

~Get Your Files Here !/2 - ML Foundations & Environment Mastery/12. Lab 10 — First End-to-End ML Pipeline Execution.html

12 kB

~Get Your Files Here !/2 - ML Foundations & Environment Mastery/2. ML Foundations & Environment Mastery.mp4

170 MB

~Get Your Files Here !/2 - ML Foundations & Environment Mastery/3. Lab 01 — Production-Grade ML Environment Setup.html

13 kB

~Get Your Files Here !/2 - ML Foundations & Environment Mastery/4. Lab 02 — Python for High-Performance ML Engineering.html

13 kB

~Get Your Files Here !/2 - ML Foundations & Environment Mastery/5. Lab 03 — NumPy Vectorized Computation Deep Dive.html

13 kB

~Get Your Files Here !/2 - ML Foundations & Environment Mastery/6. Lab 04 — Pandas for Large-Scale Data Handling.html

13 kB

~Get Your Files Here !/2 - ML Foundations & Environment Mastery/7. Lab 05 — Data Visualization for Model Insight.html

12 kB

~Get Your Files Here !/2 - ML Foundations & Environment Mastery/8. Lab 06 — Linear Algebra for ML Systems.html

13 kB

~Get Your Files Here !/2 - ML Foundations & Environment Mastery/9. Lab 07 — Probability Foundations for Engineers.html

12 kB

~Get Your Files Here !/3 - Data Engineering & Feature Systems/13. Data Engineering & Feature Systems.mp4

137 MB

~Get Your Files Here !/3 - Data Engineering & Feature Systems/14. Lab 1 — Data Cleaning at Scale.html

11 kB

~Get Your Files Here !/3 - Data Engineering & Feature Systems/15. Lab 2 — Missing Data Imputation Strategies.html

13 kB

~Get Your Files Here !/3 - Data Engineering & Feature Systems/16. Lab 3 — Feature Encoding Architectures.html

13 kB

~Get Your Files Here !/3 - Data Engineering & Feature Systems/17. Lab 4 — Feature Scaling and Normalization Systems.html

14 kB

~Get Your Files Here !/3 - Data Engineering & Feature Systems/18. Lab 5 — Outlier Detection Pipelines.html

14 kB

~Get Your Files Here !/3 - Data Engineering & Feature Systems/19. Lab 6 — Data Leakage Prevention Techniques.html

13 kB

~Get Your Files Here !/3 - Data Engineering & Feature Systems/20. Lab 7 — Feature Engineering for Tabular Intelligence.html

13 kB

~Get Your Files Here !/3 - Data Engineering & Feature Systems/21. Lab 8 — Building Reusable Feature Pipelines.html

14 kB

~Get Your Files Here !/3 - Data Engineering & Feature Systems/22. Lab 9 — Introduction to Feature Stores.html

14 kB

~Get Your Files Here !/3 - Data Engineering & Feature Systems/23. Lab 10 — Production Data Validation Systems.html

14 kB

~Get Your Files Here !/4 - Classical Machine Learning Algorithms/24. Classical Machine Learning Algorithms.mp4

144 MB

~Get Your Files Here !/4 - Classical Machine Learning Algorithms/25. Lab 1 — Logistic Regression in Production Context.html

13 kB

~Get Your Files Here !/4 - Classical Machine Learning Algorithms/26. Lab 2 — Decision Trees Architecture Deep Dive.html

13 kB

~Get Your Files Here !/4 - Classical Machine Learning Algorithms/27. Lab 3 — Random Forest Optimization.html

14 kB

~Get Your Files Here !/4 - Classical Machine Learning Algorithms/28. Lab 4 — Gradient Boosting Systems (XGBoost LightGBM).html

13 kB

~Get Your Files Here !/4 - Classical Machine Learning Algorithms/29. Lab 5 — Support Vector Machines at Scale.html

13 kB

~Get Your Files Here !/4 - Classical Machine Learning Algorithms/30. Lab 6 — KNN Optimization Strategies.html

14 kB

~Get Your Files Here !/4 - Classical Machine Learning Algorithms/31. Lab 7 — Naive Bayes in Real Applications.html

13 kB

~Get Your Files Here !/4 - Classical Machine Learning Algorithms/32. Lab 8 — Clustering Algorithms (K-Means, DBSCAN).html

14 kB

~Get Your Files Here !/4 - Classical Machine Learning Algorithms/33. Lab 9 — Dimensionality Reduction (PCA, t-SNE).html

13 kB

~Get Your Files Here !/4 - Classical Machine Learning Algorithms/34. Lab 10 — Model Selection Frameworks.html

13 kB

~Get Your Files Here !/5 - Model Evaluation & Reliability/35. Model Evaluation & Reliability.mp4

159 MB

~Get Your Files Here !/5 - Model Evaluation & Reliability/36. Lab 1 — Train Test Validation Architecture Design.html

13 kB

~Get Your Files Here !/5 - Model Evaluation & Reliability/37. Lab 2 — Cross Validation at Scale.html

14 kB

~Get Your Files Here !/5 - Model Evaluation & Reliability/38. Lab 3 — Precision-Recall Engineering.html

14 kB

~Get Your Files Here !/5 - Model Evaluation & Reliability/39. Lab 4 — ROC-AUC System Design.html

14 kB

~Get Your Files Here !/5 - Model Evaluation & Reliability/40. Lab 5 — Bias-Variance Diagnostics.html

13 kB

~Get Your Files Here !/5 - Model Evaluation & Reliability/41. Lab 6 — Overfitting Control Systems.html

14 kB

~Get Your Files Here !/5 - Model Evaluation & Reliability/42. Lab 7 — Model Drift Detection.html

13 kB

~Get Your Files Here !/5 - Model Evaluation & Reliability/43. Lab 8 — Explainability with SHAP LIME.html

14 kB

~Get Your Files Here !/5 - Model Evaluation & Reliability/44. Lab 9 — Model Monitoring Pipelines.html

14 kB

~Get Your Files Here !/5 - Model Evaluation & Reliability/45. Lab 10 — Production Model Validation Gates.html

13 kB

~Get Your Files Here !/6 - Deep Learning Foundations/46. Deep Learning Foundations.mp4

208 MB

~Get Your Files Here !/6 - Deep Learning Foundations/47. Lab 1 — Neural Network Architecture Fundamentals.html

12 kB

~Get Your Files Here !/6 - Deep Learning Foundations/48. Lab 2 — Backpropagation Engineering Deep Dive.html

13 kB

~Get Your Files Here !/6 - Deep Learning Foundations/49. Lab 3 — PyTorch Production Setup.html

13 kB

~Get Your Files Here !/6 - Deep Learning Foundations/50. Lab 4 — TensorFlow vs PyTorch Systems Comparison.html

13 kB

~Get Your Files Here !/6 - Deep Learning Foundations/51. Lab 5 — Activation Functions Optimization.html

13 kB

~Get Your Files Here !/6 - Deep Learning Foundations/52. Lab 6 — Loss Functions Engineering.html

13 kB

~Get Your Files Here !/6 - Deep Learning Foundations/53. Lab 7 — Optimizers (Adam, SGD, RMSProp).html

13 kB

~Get Your Files Here !/6 - Deep Learning Foundations/54. Lab 8 — Batch Normalization Systems.html

14 kB

~Get Your Files Here !/6 - Deep Learning Foundations/55. Lab 9 — Regularization Techniques.html

14 kB

~Get Your Files Here !/6 - Deep Learning Foundations/56. Lab 10 — Training First Deep Neural Network.html

13 kB

~Get Your Files Here !/7 - Computer Vision Systems/57. Computer Vision Systems.mp4

129 MB

~Get Your Files Here !/7 - Computer Vision Systems/58. Lab 1 — CNN Architecture Fundamentals.html

13 kB

~Get Your Files Here !/7 - Computer Vision Systems/59. Lab 2 — Image Preprocessing Pipelines.html

14 kB

~Get Your Files Here !/7 - Computer Vision Systems/60. Lab 3 — Transfer Learning Systems.html

13 kB

~Get Your Files Here !/7 - Computer Vision Systems/61. Lab 4 — Object Detection Architectures.html

14 kB

~Get Your Files Here !/7 - Computer Vision Systems/62. Lab 5 — Image Segmentation Models.html

14 kB

~Get Your Files Here !/7 - Computer Vision Systems/63. Lab 6 — Lab #56 — YOLO-Based Real-Time Detection (Production-Grade Edge AI Pipel.html

13 kB

~Get Your Files Here !/7 - Computer Vision Systems/64. Lab 7 — Vision Transformers (ViT).html

14 kB

~Get Your Files Here !/7 - Computer Vision Systems/65. Lab 8 — GPU Acceleration for Vision Models.html

12 kB

~Get Your Files Here !/7 - Computer Vision Systems/66. Lab 9 — Edge Vision Deployment.html

12 kB

~Get Your Files Here !/7 - Computer Vision Systems/67. Lab 10 — Vision Model Optimization.html

14 kB

~Get Your Files Here !/8 - NLP & Transformer Systems/68. NLP & Transformer Systems.mp4

156 MB

~Get Your Files Here !/8 - NLP & Transformer Systems/69. Lab 1 — NLP Pipeline Architecture.html

13 kB

~Get Your Files Here !/8 - NLP & Transformer Systems/70. Lab 2 — Text Preprocessing at Scale.html

14 kB

~Get Your Files Here !/8 - NLP & Transformer Systems/71. Lab 3 — Word Embeddings (Word2Vec, GloVe).html

13 kB

~Get Your Files Here !/8 - NLP & Transformer Systems/72. Lab 4 — RNN and LSTM Systems.html

13 kB

~Get Your Files Here !/8 - NLP & Transformer Systems/73. Lab 5 — Attention Mechanisms.html

13 kB

~Get Your Files Here !/8 - NLP & Transformer Systems/74. Lab 6 — Transformer Architecture Deep Dive.html

14 kB

~Get Your Files Here !/8 - NLP & Transformer Systems/75. Lab 7 — BERT-based Models.html

14 kB

~Get Your Files Here !/8 - NLP & Transformer Systems/76. Lab 8 — GPT-style Model Internals.html

13 kB

~Get Your Files Here !/8 - NLP & Transformer Systems/77. Lab 9— Fine-tuning LLMs.html

14 kB

~Get Your Files Here !/8 - NLP & Transformer Systems/78. Lab 10 — NLP Production Deployment.html

13 kB

~Get Your Files Here !/9 - MLOps & Production Systems/79. MLOps & Production Systems.mp4

166 MB

~Get Your Files Here !/9 - MLOps & Production Systems/80. Lab 1 — Docker for ML Systems.html

12 kB

~Get Your Files Here !/9 - MLOps & Production Systems/81. Lab 2 — Kubernetes ML Deployment.html

13 kB

~Get Your Files Here !/9 - MLOps & Production Systems/82. Lab 3 — CI CD for Machine Learning.html

15 kB

~Get Your Files Here !/9 - MLOps & Production Systems/83. Lab 4 — ML Pipeline Orchestration (Airflow).html

14 kB

~Get Your Files Here !/9 - MLOps & Production Systems/84. Lab 5 — Model Registry Systems.html

14 kB

~Get Your Files Here !/9 - MLOps & Production Systems/85. Lab 6 — Feature Store Integration.html

14 kB

~Get Your Files Here !/9 - MLOps & Production Systems/86. Lab 7 — A B Testing ML Models.html

14 kB

~Get Your Files Here !/9 - MLOps & Production Systems/87. Lab 8 — Real-time Inference APIs.html

13 kB

~Get Your Files Here !/9 - MLOps & Production Systems/88. Lab 9 — Observability with OpenTelemetry.html

14 kB

~Get Your Files Here !/9 - MLOps & Production Systems/89. Lab 10 — Scaling ML Systems Globally.html

13 kB

~Get Your Files Here !/Bonus Resources.txt

70 B