Udemy AI Engineer Professional Certificate Course BOOKWARE-BOOKTIME | Apps-Tutorials | MP4,PY | 7.54 GiB
1 798 kb/s 1280×720 | AAC 128 kb/s 2 CH
BOOKTIME url: https://www.udemy.com/course/ai-engineer-professional-certificate-course/
192M Chapter_1-Introduction_to_Course_and_Instructor 83M Chapter_1-Introduction_to_Course_and_Instructor/1 What You’ll Learn in the AI Engineer Professional Certificate Course.mp4 110M Chapter_1-Introduction_to_Course_and_Instructor/2 Day 1 Introduction to Hyperparameter Tuning.mp4 1.2G Chapter_2-Model_Tuning_and_Optimization 137M Chapter_2-Model_Tuning_and_Optimization/3 Day 2 Grid Search and Random Search.mp4 245M Chapter_2-Model_Tuning_and_Optimization/4 Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.mp4 117M Chapter_2-Model_Tuning_and_Optimization/5 Day 4 Regularization Techniques for Model Optimization.mp4 103M Chapter_2-Model_Tuning_and_Optimization/6 Day 5 Cross-Validation and Model Evaluation Techniques.mp4 172M Chapter_2-Model_Tuning_and_Optimization/7 Day 6 Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.mp4 208M Chapter_2-Model_Tuning_and_Optimization/8 Day 7 Optimization Project – Building and Tuning a Final Model.mp4 213M Chapter_2-Model_Tuning_and_Optimization/9 Day 1 Introduction to Convolutional Neural Networks.mp4 988K Chapter_2-Model_Tuning_and_Optimization/Additional_Files 956K Chapter_2-Model_Tuning_and_Optimization/Additional_Files/Telco-Customer-Churn.csv 4.0K Chapter_2-Model_Tuning_and_Optimization/Additional_Files/dat2_ex.py 4.0K Chapter_2-Model_Tuning_and_Optimization/Additional_Files/day1_ex.py 4.0K Chapter_2-Model_Tuning_and_Optimization/Additional_Files/day3_ex.py 4.0K Chapter_2-Model_Tuning_and_Optimization/Additional_Files/day4_ex.py 4.0K Chapter_2-Model_Tuning_and_Optimization/Additional_Files/day5_ex.py 4.0K Chapter_2-Model_Tuning_and_Optimization/Additional_Files/day6_ex.py 4.0K Chapter_2-Model_Tuning_and_Optimization/Additional_Files/day7_ex.py 1.4G Chapter_3-Convolutional_Neural_Networks_(CNNs) 190M Chapter_3-Convolutional_Neural_Networks_(CNNs)/10 Day 2 Convolutional Layers and Filters.mp4 211M Chapter_3-Convolutional_Neural_Networks_(CNNs)/11 Day 3 Pooling Layers and Dimensionality Reduction.mp4 143M Chapter_3-Convolutional_Neural_Networks_(CNNs)/12 Day 4 Building CNN Architectures with Keras and TensorFlow.mp4 205M Chapter_3-Convolutional_Neural_Networks_(CNNs)/13 Day 5 Building CNN Architectures with PyTorch.mp4 149M Chapter_3-Convolutional_Neural_Networks_(CNNs)/14 Day 6 Regularization and Data Augmentation for CNNs.mp4 248M Chapter_3-Convolutional_Neural_Networks_(CNNs)/15 Day 7 CNN Project – Image Classification on Fashion MNIST or CIFAR-10.mp4 276M Chapter_3-Convolutional_Neural_Networks_(CNNs)/16 Day 1 Introduction to Sequence Modeling and RNNs.mp4 32K Chapter_3-Convolutional_Neural_Networks_(CNNs)/Additional_Files 4.0K Chapter_3-Convolutional_Neural_Networks_(CNNs)/Additional_Files/day1_ex.py 4.0K Chapter_3-Convolutional_Neural_Networks_(CNNs)/Additional_Files/day2_ex.py 4.0K Chapter_3-Convolutional_Neural_Networks_(CNNs)/Additional_Files/day3_ex.py 4.0K Chapter_3-Convolutional_Neural_Networks_(CNNs)/Additional_Files/day4_ex.py 4.0K Chapter_3-Convolutional_Neural_Networks_(CNNs)/Additional_Files/day5_ex.py 4.0K Chapter_3-Convolutional_Neural_Networks_(CNNs)/Additional_Files/day6_ex.py 4.0K Chapter_3-Convolutional_Neural_Networks_(CNNs)/Additional_Files/day7_ex.py 1.3G Chapter_4-Recurrent_Neural_Networks_(RNNs)_and_Sequence_Modeling 213M Chapter_4-Recurrent_Neural_Networks_(RNNs)_and_Sequence_Modeling/17 Day 2 Understanding RNN Architecture and Backpropagation Through Time (BPTT).mp4 113M Chapter_4-Recurrent_Neural_Networks_(RNNs)_and_Sequence_Modeling/18 Day 3 Long Short-Term Memory (LSTM) Networks.mp4 53M Chapter_4-Recurrent_Neural_Networks_(RNNs)_and_Sequence_Modeling/19 Day 4 Gated Recurrent Units (GRUs).mp4 208M Chapter_4-Recurrent_Neural_Networks_(RNNs)_and_Sequence_Modeling/20 Day 5 Text Preprocessing and Word Embeddings for RNNs.mp4 402M Chapter_4-Recurrent_Neural_Networks_(RNNs)_and_Sequence_Modeling/21 Day 6 Sequence-to-Sequence Models and Applications.mp4 156M Chapter_4-Recurrent_Neural_Networks_(RNNs)_and_Sequence_Modeling/22 Day 7 RNN Project – Text Generation or Sentiment Analysis.mp4 111M Chapter_4-Recurrent_Neural_Networks_(RNNs)_and_Sequence_Modeling/23 Day 1 Introduction to Attention Mechanisms.mp4 44K Chapter_4-Recurrent_Neural_Networks_(RNNs)_and_Sequence_Modeling/Additional_Files 4.0K Chapter_4-Recurrent_Neural_Networks_(RNNs)_and_Sequence_Modeling/Additional_Files/dat1_tensorflow.py 4.0K Chapter_4-Recurrent_Neural_Networks_(RNNs)_and_Sequence_Modeling/Additional_Files/day1_pytorch.py 4.0K Chapter_4-Recurrent_Neural_Networks_(RNNs)_and_Sequence_Modeling/Additional_Files/day2_pytorch.py 4.0K Chapter_4-Recurrent_Neural_Networks_(RNNs)_and_Sequence_Modeling/Additional_Files/day2_tensorflow.py 4.0K Chapter_4-Recurrent_Neural_Networks_(RNNs)_and_Sequence_Modeling/Additional_Files/day3_ex.py 4.0K Chapter_4-Recurrent_Neural_Networks_(RNNs)_and_Sequence_Modeling/Additional_Files/day5_ex.py 8.0K Chapter_4-Recurrent_Neural_Networks_(RNNs)_and_Sequence_Modeling/Additional_Files/day6_ex.py 4.0K Chapter_4-Recurrent_Neural_Networks_(RNNs)_and_Sequence_Modeling/Additional_Files/day7_project.py 4.0K Chapter_4-Recurrent_Neural_Networks_(RNNs)_and_Sequence_Modeling/Additional_Files/day_ex4.py 1.1G Chapter_5-Transformers_and_Attention_Mechanisms 140M Chapter_5-Transformers_and_Attention_Mechanisms/24 Day 2 Introduction to Transformers Architecture.mp4 190M Chapter_5-Transformers_and_Attention_Mechanisms/25 Day 3 Self-Attention and Multi-Head Attention in Transformers.mp4 166M Chapter_5-Transformers_and_Attention_Mechanisms/26 Day 4 Positional Encoding and Feed-Forward Networks.mp4 169M Chapter_5-Transformers_and_Attention_Mechanisms/27 Day 5 Hands-On with Pre-Trained Transformers – BERT and GPT.mp4 172M Chapter_5-Transformers_and_Attention_Mechanisms/28 Day 6 Advanced Transformers – BERT Variants and GPT-3.mp4 156M Chapter_5-Transformers_and_Attention_Mechanisms/29 Day 7 Transformer Project – Text Summarization or Translation.mp4 119M Chapter_5-Transformers_and_Attention_Mechanisms/30 Day 1 Introduction to Transfer Learning.mp4 216K Chapter_5-Transformers_and_Attention_Mechanisms/Additional_Files 4.0K Chapter_5-Transformers_and_Attention_Mechanisms/Additional_Files/day1_numpy.py 4.0K Chapter_5-Transformers_and_Attention_Mechanisms/Additional_Files/day1_pytorch.py 4.0K Chapter_5-Transformers_and_Attention_Mechanisms/Additional_Files/day2_ex1.py 4.0K Chapter_5-Transformers_and_Attention_Mechanisms/Additional_Files/day2_ex2.py 4.0K Chapter_5-Transformers_and_Attention_Mechanisms/Additional_Files/day3_ex.py 4.0K Chapter_5-Transformers_and_Attention_Mechanisms/Additional_Files/day4_ex.py 4.0K Chapter_5-Transformers_and_Attention_Mechanisms/Additional_Files/day5_ex.py 4.0K Chapter_5-Transformers_and_Attention_Mechanisms/Additional_Files/day6_ex.py 4.0K Chapter_5-Transformers_and_Attention_Mechanisms/Additional_Files/day6_ex_openai.py 4.0K Chapter_5-Transformers_and_Attention_Mechanisms/Additional_Files/day7_ex.py 168K Chapter_5-Transformers_and_Attention_Mechanisms/Additional_Files/transformer_encoder.png 4.0K Chapter_5-Transformers_and_Attention_Mechanisms/Additional_Files/visualiztion_day2.py 1.1G Chapter_6-Transfer_Learning_and_Fine_Tuning 235M Chapter_6-Transfer_Learning_and_Fine_Tuning/31 Day 2 Transfer Learning in Computer Vision.mp4 192M Chapter_6-Transfer_Learning_and_Fine_Tuning/32 Day 3 Fine-Tuning Techniques in Computer Vision.mp4 143M Chapter_6-Transfer_Learning_and_Fine_Tuning/33 Day 4 Transfer Learning in NLP.mp4 225M Chapter_6-Transfer_Learning_and_Fine_Tuning/34 Day 5 Fine-Tuning Techniques in NLP.mp4 129M Chapter_6-Transfer_Learning_and_Fine_Tuning/35 Day 6 Domain Adaptation and Transfer Learning Challenges.mp4 155M Chapter_6-Transfer_Learning_and_Fine_Tuning/36 Day 7 Transfer Learning Project – Fine-Tuning for a Custom Task.mp4 32M Chapter_6-Transfer_Learning_and_Fine_Tuning/37 1 Hands-on AutoGen IBM Bee LangGraph CrewAI AutoGPT.mp4 44K Chapter_6-Transfer_Learning_and_Fine_Tuning/Additional_Files 4.0K Chapter_6-Transfer_Learning_and_Fine_Tuning/Additional_Files/day1_pt.py 4.0K Chapter_6-Transfer_Learning_and_Fine_Tuning/Additional_Files/day1_tf.py 4.0K Chapter_6-Transfer_Learning_and_Fine_Tuning/Additional_Files/day2_pt.py 4.0K Chapter_6-Transfer_Learning_and_Fine_Tuning/Additional_Files/day2_tf.py 4.0K Chapter_6-Transfer_Learning_and_Fine_Tuning/Additional_Files/day3_pt.py 4.0K Chapter_6-Transfer_Learning_and_Fine_Tuning/Additional_Files/day3_tf.py 4.0K Chapter_6-Transfer_Learning_and_Fine_Tuning/Additional_Files/day4_ex.py 4.0K Chapter_6-Transfer_Learning_and_Fine_Tuning/Additional_Files/day5_ex.py 4.0K Chapter_6-Transfer_Learning_and_Fine_Tuning/Additional_Files/day6_ex.py 4.0K Chapter_6-Transfer_Learning_and_Fine_Tuning/Additional_Files/day7_cv.py 480M Chapter_7-AI_Agents_A_Comprehensive_Overview 89M Chapter_7-AI_Agents_A_Comprehensive_Overview/38 2 Hands-on AutoGen.mp4 128M Chapter_7-AI_Agents_A_Comprehensive_Overview/39 3 Hands-on IBM Bee Framework.mp4 119M Chapter_7-AI_Agents_A_Comprehensive_Overview/40 4 Hands-on LangGraph.mp4 98M Chapter_7-AI_Agents_A_Comprehensive_Overview/41 5 Hands-on CrewAI.mp4 46M Chapter_7-AI_Agents_A_Comprehensive_Overview/42 6 Hands-on AutoGPT.mp4 2.1M Chapter_7-AI_Agents_A_Comprehensive_Overview/43 1 Introduction to MLOps Sessions.mp4 952M Chapter_8-Introduction_and_Hands_on_MLOps 3.2M Chapter_8-Introduction_and_Hands_on_MLOps/44 2 Overview of MLOps and its Importance.mp4 2.9M Chapter_8-Introduction_and_Hands_on_MLOps/45 3 Evolution of Machine Learning Operations.mp4 4.1M Chapter_8-Introduction_and_Hands_on_MLOps/46 4 Key Concepts in MLOps Versioning, Automation, and Monitoring.mp4 3.4M Chapter_8-Introduction_and_Hands_on_MLOps/47 5 MLOps vs DevOps Similarities and Differences.mp4 184M Chapter_8-Introduction_and_Hands_on_MLOps/48 6 Hands-on Set up a basic MLOps Project Structure (Git, Docker, Model Pipeline.mp4 1.4M Chapter_8-Introduction_and_Hands_on_MLOps/49 7 Introduction to Data Science to Production Pipeline Section.mp4 7.7M Chapter_8-Introduction_and_Hands_on_MLOps/50 8 Overview of the ML Workflow Data Preparation to Deployment.mp4 5.6M Chapter_8-Introduction_and_Hands_on_MLOps/51 9 Experimentation vs Production.mp4 2.3M Chapter_8-Introduction_and_Hands_on_MLOps/52 10 Challenges in Deploying ML Models.mp4 252M Chapter_8-Introduction_and_Hands_on_MLOps/53 11 Hands-on Build an end-to-end pipeline for an ML model.mp4 1.8M Chapter_8-Introduction_and_Hands_on_MLOps/54 12 Introduction to Infrastructure for MLOps Section.mp4 13M Chapter_8-Introduction_and_Hands_on_MLOps/55 13 Introduction to Cloud Platforms (AWS, GCP, Azure).mp4 3.7M Chapter_8-Introduction_and_Hands_on_MLOps/56 14 Containerization with Docker.mp4 3.6M Chapter_8-Introduction_and_Hands_on_MLOps/57 15 Kubernetes for Orchestrating ML Workloads.mp4 3.9M Chapter_8-Introduction_and_Hands_on_MLOps/58 16 Setting up Local MLOps Environments.mp4 445M Chapter_8-Introduction_and_Hands_on_MLOps/59 17 Hands-on Containerize simple ML model & deploy it locally using Kubernetes.mp4 17M Chapter_8-Introduction_and_Hands_on_MLOps/60 Congratulations and Best of Luck.mp4 17M Chapter_9-Final_Quiz_and_Congratulations 17M Chapter_9-Final_Quiz_and_Congratulations/61 Congratulations and Best of Luck.mp4 7.6G total
File: 1 What You’ll Learn in the AI Engineer Professional Certificate Course.mp4 Size: 86307577 bytes (82.31 MiB), duration: 00:06:24, avg.bitrate: 1798 kb/s Audio: aac, 44100 Hz, stereo (und) Video: h264, yuv420p, 1280x720, 30.00 fps(r) (und)
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