12.6 GB | 13min 12s | mp4 | 1920X1080  | 16:9
Genre:eLearning |Language:English

Files Included :
1  1 1 Welcome to the Full Stack AI Engineer Master Program.mp4 (42.76 MB)
2  1 2 Who Is a Full Stack AI Engineer in 2026.mp4 (59.21 MB)
3  1 3 How This Course Is Structured End to End.mp4 (53.04 MB)
4  1 4 Tools Stack & Skills You'll Use Throughout.mp4 (51.03 MB)
5  1 5 How to Stay Consistent & Finish Strong.mp4 (50.56 MB)
6  2 1 Python Refresher for AI Engineers.mp4 (69.32 MB)
7  2 2 NumPy for Numerical Computing.mp4 (89.21 MB)
8  2 3 Data Handling with Pandas.mp4 (91.06 MB)
9  2 4 Writing Clean Modular ML Code.mp4 (93.25 MB)
10  2 5 Hands On Python Warm Up Lab.mp4 (69.62 MB)
11  3 1 Understanding Dataset Structure.mp4 (85.65 MB)
12  3 2 Missing Values Noise & Outliers.mp4 (84.18 MB)
13  3 3 Visualizing Data with Matplotlib.mp4 (94.25 MB)
14  3 4 Feature Relationships & Correlations.mp4 (93.18 MB)
15  3 5 Hands On EDA Mini Project.mp4 (87.14 MB)
16  4 1 What Is Machine Learning.mp4 (87.01 MB)
17  4 2 Supervised vs Unsupervised Learning.mp4 (104.72 MB)
18  4 3 Regression vs Classification Problems.mp4 (86.72 MB)
19  4 4 Train Validation Test Splits.mp4 (92.86 MB)
20  4 5 End to End ML Workflow.mp4 (145.67 MB)
21  5 1 Linear Regression Intuition.mp4 (142.3 MB)
22  5 2 Linear Regression Math (Simplified).mp4 (137.4 MB)
23  5 3 Implementing Linear Regression in Python.mp4 (145.52 MB)
24  5 4 Model Evaluation MSE RMSE & R².mp4 (125.49 MB)
25  5 5 Bias-Variance Tradeoff.mp4 (115.83 MB)
26  5 6 Mini Project Continuous Value Prediction.mp4 (137.35 MB)
27  6 1 Logistic Regression Explained.mp4 (140.47 MB)
28  6 2 Implementing Logistic Regression.mp4 (152.6 MB)
29  6 3 K Nearest Neighbors (KNN).mp4 (152.84 MB)
30  6 4 Decision Trees & Split Logic.mp4 (148.33 MB)
31  6 5 Classification Metrics Deep Dive.mp4 (171.71 MB)
32  6 6 Mini Project Binary Classification System.mp4 (180.54 MB)
33  7 1 Why Single Models Break.mp4 (149.86 MB)
34  7 2 Random Forests Explained.mp4 (180.04 MB)
35  7 3 Gradient Boosting Intuition.mp4 (175.68 MB)
36  7 4 Feature Importance & Interpretability.mp4 (188.62 MB)
37  7 5 Hands On Boosting Model Performance.mp4 (185.71 MB)
38  8 1 Understanding Unsupervised Learning.mp4 (141.43 MB)
39  8 2 K Means Clustering.mp4 (147.35 MB)
40  8 3 Choosing Optimal Number of Clusters.mp4 (142.78 MB)
41  8 4 Dimensionality Reduction with PCA.mp4 (152.99 MB)
42  8 5 Industry Use Cases of Clustering.mp4 (167.83 MB)
43  9 1 Feature Scaling & Normalization.mp4 (91.68 MB)
44  9 2 Encoding Categorical Variables.mp4 (115 MB)
45  9 3 Feature Selection Strategies.mp4 (110.42 MB)
46  9 4 Cross Validation Explained.mp4 (99.53 MB)
47  9 5 Hyperparameter Tuning (Grid & Random Search).mp4 (108.1 MB)
48  10 1 Building ML Pipelines.mp4 (97.83 MB)
49  10 2 Preventing Data Leakage.mp4 (99.81 MB)
50  10 3 Reproducibility in Machine Learning.mp4 (95.57 MB)
51  10 4 Common ML Mistakes to Avoid.mp4 (119.72 MB)
52  11 1 What Is Deep Learning & Why It Matters.mp4 (73.55 MB)
53  11 2 Machine Learning vs Deep Learning.mp4 (69.54 MB)
54  11 3 Deep Learning Use Cases in Industry.mp4 (72.65 MB)
55  11 4 Deep Learning Roadmap for AI Engineers.mp4 (90.92 MB)
56  11 5 Tools & Frameworks (PyTorch TensorFlow).mp4 (102.22 MB)
57  12 1 Biological Inspiration of Neural Networks.mp4 (128.97 MB)
58  12 2 Artificial Neurons & Perceptrons.mp4 (108.15 MB)
59  12 3 Layers Weights & Biases.mp4 (95.97 MB)
60  12 4 Forward Propagation Explained.mp4 (107.58 MB)
61  12 5 Hands On Neural Network from Scratch.mp4 (114.3 MB)
62  13 1 Why Activation Functions Matter.mp4 (106.44 MB)
63  13 2 Sigmoid Tanh ReLU & Variants.mp4 (106.64 MB)
64  13 3 Choosing the Right Activation.mp4 (89.95 MB)
65  13 4 Loss Functions for Regression & Classification.mp4 (87.93 MB)
66  13 5 Hands On Visualizing Activations & Loss.mp4 (80.45 MB)
67  14 1 Gradient Descent Intuition.mp4 (87.48 MB)
68  14 2 Backpropagation (Simplified).mp4 (112.38 MB)
69  14 3 Learning Rate & Convergence.mp4 (87.9 MB)
70  14 4 Optimizers SGD Momentum Adam.mp4 (99.91 MB)
71  15 1 Bias-Variance in Deep Learning.mp4 (59.71 MB)
72  15 2 Overfitting in Neural Networks.mp4 (81.57 MB)
73  15 3 L1 & L2 Regularization.mp4 (84.39 MB)
74  15 4 Dropout & Batch Normalization.mp4 (85.91 MB)
75  16 1 Tensors & Computation Graphs.mp4 (73.72 MB)
76  16 2 Building Networks Using Modules.mp4 (68.42 MB)
77  16 3 Training Loops & Evaluation.mp4 (84.17 MB)
78  16 4 GPU Acceleration Basics.mp4 (74.81 MB)
79  17 1 Why CNNs Beat Dense Networks.mp4 (80.77 MB)
80  17 2 Convolutions Filters & Feature Maps.mp4 (69.2 MB)
81  17 3 Pooling Layers Explained.mp4 (70.76 MB)
82  17 4 CNN Architecture Walkthrough.mp4 (77.27 MB)
83  18 1 Why Sequential Data Is Different.mp4 (75.48 MB)
84  18 2 Recurrent Neural Networks (RNNs).mp4 (82.02 MB)
85  18 3 LSTM & GRU Intuition.mp4 (68.52 MB)
86  18 4 Use Cases Time Series & Text.mp4 (66.64 MB)
87  19 1 Weight Initialization Strategies.mp4 (92.85 MB)
88  19 2 Debugging Deep Learning Models.mp4 (88.69 MB)
89  19 3 Monitoring Training & Validation Curves.mp4 (97.35 MB)
90  19 4 Reproducibility in Deep Learning.mp4 (98.88 MB)
91  19 5 Saving Loading & Versioning Models.mp4 (80.63 MB)
92  20 1 What Is Generative AI.mp4 (94.49 MB)
93  20 2 Evolution of Generative Models.mp4 (101.72 MB)
94  20 3 Generative AI Landscape.mp4 (111.2 MB)
95  21 1 Anatomy of Transformers.mp4 (99.01 MB)
96  21 2 Tokens Embeddings & Context Windows.mp4 (98.26 MB)
97  21 3 How LLMs Are Trained.mp4 (114.78 MB)
98  22 1 Popular LLM Families.mp4 (124.54 MB)
99  22 2 LLM Capabilities & Limitations.mp4 (104.56 MB)
100  22 3 Using LLM APIs.mp4 (95.96 MB)
101  23 1 Prompt Design Fundamentals.mp4 (93.08 MB)
102  23 2 Advanced Prompting Techniques.mp4 (116.76 MB)
103  23 3 Prompt Robustness & Safety.mp4 (103.76 MB)
104  24 1 What Are Embeddings.mp4 (107.9 MB)
105  24 2 Building Semantic Search Pipelines.mp4 (112.98 MB)
106  24 3 Vector Databases.mp4 (121.53 MB)
107  25 1 Why RAG is Needed.mp4 (100.14 MB)
108  25 2 RAG Architecture.mp4 (110.72 MB)
109  25 3 Advanced RAG Techniques.mp4 (89.81 MB)
110  26 1 Tool Using LLMs.mp4 (105.03 MB)
111  26 2 Designing Tools for LLMs.mp4 (91.88 MB)
112  26 3 Multi Step Reasoning with Tools.mp4 (93.8 MB)
113  27 1 What Are AI Agents.mp4 (102.41 MB)
114  27 2 Agent Architectures.mp4 (107.74 MB)
115  27 3 Building Practical Agents.mp4 (107.43 MB)
116  28 1 Backend Architecture for LLM Apps.mp4 (112.91 MB)
117  28 2 Frontend → LLM Integration.mp4 (108.94 MB)
118  28 3 State Memory & Context Management.mp4 (116.09 MB)
119  29 1 Evaluating LLM Outputs.mp4 (106.78 MB)
120  29 2 Cost Optimization.mp4 (112.4 MB)
121  29 3 Latency & Scaling Considerations.mp4 (114.66 MB)
122  30 1 Ethical Considerations in Generative AI.mp4 (88.79 MB)
123  30 2 Security Risks.mp4 (93.87 MB)
124  30 3 Guardrails & Governance.mp4 (104.18 MB)]
Screenshot

DDownload

https://ddownload.com/4q1omijeh5c5
https://ddownload.com/djtnxx6eapif
https://ddownload.com/t55naov2h378
https://ddownload.com/qdd6djiwvwew
https://ddownload.com/f2wndg7sx4df
https://ddownload.com/bbgrsg3urr1d
https://ddownload.com/cvcc6l3roego
https://ddownload.com/r9dihx3r5pei
https://ddownload.com/4zf44e5sap2q
https://ddownload.com/clfllk8jqkff
https://ddownload.com/903uqb3d86oa
https://ddownload.com/wmfj7ki9hq28

https://rapidgator.net/file/9552f7cf2bde4596ccbc98a3e60a121a/
https://rapidgator.net/file/d5e0b2a133c67a8d93a5e7d832cec174/
https://rapidgator.net/file/fc44501bbce9e9a1b8e0a73d3fc6a812/
https://rapidgator.net/file/ec9c2856d3dd91998bcff79375cab412/
https://rapidgator.net/file/4163a2102b4b3af9cdc050b1f2cd443c/
https://rapidgator.net/file/9655c174c54f0c4e5838e641a3add392/
https://rapidgator.net/file/6ac6340e79e938c9e26c1f8d9ffa0d87/
https://rapidgator.net/file/fd7b4ec4cc2192276b0a90a26e8d787c/
https://rapidgator.net/file/867c34bf9d2983f351868cc703f0365d/
https://rapidgator.net/file/6a411c443d55dc695074ef880ffb405e/
https://rapidgator.net/file/10b3fa285ea76ee08673040cb4ae333b/
https://rapidgator.net/file/90547e601788bfb7b36ef125299aa871/

NitroFlare

https://nitroflare.com/view/3365E83665F0C04/
https://nitroflare.com/view/A9793F5A95977A0/
https://nitroflare.com/view/7C7562BB815686A/
https://nitroflare.com/view/004699FC36040EF/
https://nitroflare.com/view/31F8E78D75D3B15/
https://nitroflare.com/view/035D8AF5B37A650/
https://nitroflare.com/view/0101384A208A7A0/
https://nitroflare.com/view/989420475A83734/
https://nitroflare.com/view/1C7CFEDE581FE9B/
https://nitroflare.com/view/C37526641A34E4D/
https://nitroflare.com/view/C2B3DFC295A4BFA/
https://nitroflare.com/view/D43CB43C3C084AA/