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Udemy - MLOps Bootcamp Mastering AI Operations for Success - AIOps (7.2024)
大小 13.84 GB
文件数 493
Info Hash: BBF409F2AB53F92F3B88D4EAF0D0BD2C74D25BD3
收录时间 2025-12-13 11:07:58
更新时间 2025-12-13 15:08:09
文件列表 (493)
01 - Introduction to Complete MLOps Bootcamp/001 What and Why MLOps.mp4
82.88 MB
01 - Introduction to Complete MLOps Bootcamp/001 What and Why MLOps.srt
4.87 KB
01 - Introduction to Complete MLOps Bootcamp/002 What and Why MLOps.html
9.34 KB
01 - Introduction to Complete MLOps Bootcamp/003 The Stages of MLOps.mp4
136.31 MB
01 - Introduction to Complete MLOps Bootcamp/003 The Stages of MLOps.srt
9.1 KB
01 - Introduction to Complete MLOps Bootcamp/004 Stages of MLOps.html
9.24 KB
01 - Introduction to Complete MLOps Bootcamp/005 Github-Link.url
85 B
01 - Introduction to Complete MLOps Bootcamp/005 Source code for this course.html
114 B
01 - Introduction to Complete MLOps Bootcamp/006 Slide Download Link.html
93 B
01 - Introduction to Complete MLOps Bootcamp/006 Slide-Download-Link.url
80 B
01 - Introduction to Complete MLOps Bootcamp/external-links.txt
167 B
02 - Python for MLOps/001 About the Section.mp4
5.14 MB
02 - Python for MLOps/001 About the Section.srt
2.27 KB
02 - Python for MLOps/002 Python Quiz.html
19.58 KB
02 - Python for MLOps/003 Introduction to Python Programming.mp4
14.83 MB
02 - Python for MLOps/003 Introduction to Python Programming.srt
7.17 KB
02 - Python for MLOps/004 Install Anaconda.mp4
13.13 MB
02 - Python for MLOps/004 Install Anaconda.srt
3.31 KB
02 - Python for MLOps/005 Hello World - Python.mp4
31.08 MB
02 - Python for MLOps/005 Hello World - Python.srt
5.4 KB
02 - Python for MLOps/006 Jupyter Lab Quick Tour.mp4
21.77 MB
02 - Python for MLOps/006 Jupyter Lab Quick Tour.srt
7.97 KB
02 - Python for MLOps/007 Variables in Python.mp4
6.11 MB
02 - Python for MLOps/007 Variables in Python.srt
4.95 KB
02 - Python for MLOps/008 Variables in Python.html
8.68 KB
02 - Python for MLOps/009 Variables - Comments - Markdown Cells - Hands On.mp4
26.98 MB
02 - Python for MLOps/009 Variables - Comments - Markdown Cells - Hands On.srt
14.47 KB
02 - Python for MLOps/010 Python Literals - Hands On.mp4
45.8 MB
02 - Python for MLOps/010 Python Literals - Hands On.srt
13 KB
02 - Python for MLOps/011 Operators in Python Programming Language.mp4
52.46 MB
02 - Python for MLOps/011 Operators in Python Programming Language.srt
13.08 KB
02 - Python for MLOps/012 Collection - Strings.mp4
58.69 MB
02 - Python for MLOps/012 Collection - Strings.srt
15.7 KB
02 - Python for MLOps/013 Python String - Builtin Functions - Hands On.mp4
24.99 MB
02 - Python for MLOps/013 Python String - Builtin Functions - Hands On.srt
5.46 KB
02 - Python for MLOps/014 Data Structures - List.mp4
36.72 MB
02 - Python for MLOps/014 Data Structures - List.srt
10.77 KB
02 - Python for MLOps/015 Data Structures - Tuples.mp4
21.75 MB
02 - Python for MLOps/015 Data Structures - Tuples.srt
5.36 KB
02 - Python for MLOps/016 Data Structures - Dictionary.mp4
15.05 MB
02 - Python for MLOps/016 Data Structures - Dictionary.srt
6.25 KB
02 - Python for MLOps/017 Data Structures - Sets.mp4
19.94 MB
02 - Python for MLOps/017 Data Structures - Sets.srt
4.94 KB
02 - Python for MLOps/018 Explicit and Implicit Casting in Python Programming.mp4
12.33 MB
02 - Python for MLOps/018 Explicit and Implicit Casting in Python Programming.srt
6.35 KB
02 - Python for MLOps/019 Reading the Input from Keyboard.mp4
16.34 MB
02 - Python for MLOps/019 Reading the Input from Keyboard.srt
4.9 KB
02 - Python for MLOps/020 String Formatting.mp4
14.84 MB
02 - Python for MLOps/020 String Formatting.srt
6.39 KB
02 - Python for MLOps/021 Control Statements - Conditional Statements in Python.mp4
19.8 MB
02 - Python for MLOps/021 Control Statements - Conditional Statements in Python.srt
7.86 KB
02 - Python for MLOps/022 Control Statements - Looping Statements.mp4
34.51 MB
02 - Python for MLOps/022 Control Statements - Looping Statements.srt
16.75 KB
02 - Python for MLOps/023 List comprehension.mp4
14.47 MB
02 - Python for MLOps/023 List comprehension.srt
5.62 KB
02 - Python for MLOps/024 Functions.mp4
40.87 MB
02 - Python for MLOps/024 Functions.srt
13.69 KB
02 - Python for MLOps/025 Modules in Python.mp4
13.62 MB
02 - Python for MLOps/025 Modules in Python.srt
6.33 KB
02 - Python for MLOps/026 Classes in Python.mp4
29.26 MB
02 - Python for MLOps/026 Classes in Python.srt
8.86 KB
02 - Python for MLOps/027 File Handling in Python.mp4
43.04 MB
02 - Python for MLOps/027 File Handling in Python.srt
9.97 KB
02 - Python for MLOps/028 Working with Python Scripts.mp4
7.45 MB
02 - Python for MLOps/028 Working with Python Scripts.srt
3.39 KB
02 - Python for MLOps/029 Libraries in Python.mp4
8.53 MB
02 - Python for MLOps/029 Libraries in Python.srt
3.45 KB
03 - Git and Github Fundamentals for MLOps/001 Introduction to Version Control Systems.mp4
34.73 MB
03 - Git and Github Fundamentals for MLOps/001 Introduction to Version Control Systems.srt
12.98 KB
03 - Git and Github Fundamentals for MLOps/002 Getting Started with git.mp4
57.19 MB
03 - Git and Github Fundamentals for MLOps/002 Getting Started with git.srt
8.29 KB
03 - Git and Github Fundamentals for MLOps/003 Local Repo vs Remote Repo.mp4
26.82 MB
03 - Git and Github Fundamentals for MLOps/003 Local Repo vs Remote Repo.srt
5.98 KB
03 - Git and Github Fundamentals for MLOps/004 Git Configurations.mp4
25.97 MB
03 - Git and Github Fundamentals for MLOps/004 Git Configurations.srt
7.9 KB
03 - Git and Github Fundamentals for MLOps/005 Getting Started with Local Repo.mp4
50.45 MB
03 - Git and Github Fundamentals for MLOps/005 Getting Started with Local Repo.srt
10.28 KB
03 - Git and Github Fundamentals for MLOps/006 Concept of Working Directory - Staging Area - Commit.mp4
25.99 MB
03 - Git and Github Fundamentals for MLOps/006 Concept of Working Directory - Staging Area - Commit.srt
9.07 KB
03 - Git and Github Fundamentals for MLOps/007 Git Workflow - Local Repo.mp4
62.67 MB
03 - Git and Github Fundamentals for MLOps/007 Git Workflow - Local Repo.srt
14.66 KB
03 - Git and Github Fundamentals for MLOps/008 Git Branch.mp4
93.87 MB
03 - Git and Github Fundamentals for MLOps/008 Git Branch.srt
17 KB
03 - Git and Github Fundamentals for MLOps/009 Switching the Branches.mp4
55.01 MB
03 - Git and Github Fundamentals for MLOps/009 Switching the Branches.srt
11.22 KB
03 - Git and Github Fundamentals for MLOps/010 Merging.mp4
72.02 MB
03 - Git and Github Fundamentals for MLOps/010 Merging.srt
11.12 KB
03 - Git and Github Fundamentals for MLOps/011 Checking Out Commits.mp4
54.2 MB
03 - Git and Github Fundamentals for MLOps/011 Checking Out Commits.srt
11.31 KB
03 - Git and Github Fundamentals for MLOps/012 Git Hosting Services.mp4
34.01 MB
03 - Git and Github Fundamentals for MLOps/012 Git Hosting Services.srt
7.18 KB
03 - Git and Github Fundamentals for MLOps/013 Working with Remote Repositories.mp4
54.49 MB
03 - Git and Github Fundamentals for MLOps/013 Working with Remote Repositories.srt
16.46 KB
03 - Git and Github Fundamentals for MLOps/014 Cloning and Delete Branches.mp4
55.75 MB
03 - Git and Github Fundamentals for MLOps/014 Cloning and Delete Branches.srt
9.75 KB
03 - Git and Github Fundamentals for MLOps/015 3 way merge.mp4
70.73 MB
03 - Git and Github Fundamentals for MLOps/015 3 way merge.srt
13.65 KB
03 - Git and Github Fundamentals for MLOps/016 Summary.mp4
11.24 MB
03 - Git and Github Fundamentals for MLOps/016 Summary.srt
3.79 KB
04 - Crash Course on YAML/001 YAML Crash Course.mp4
91.84 MB
04 - Crash Course on YAML/001 YAML Crash Course.srt
30.04 KB
05 - Packaging the ML Models/001 Introduction to Packaging the ML Models.mp4
47.39 MB
05 - Packaging the ML Models/001 Introduction to Packaging the ML Models.srt
7.76 KB
05 - Packaging the ML Models/002 Typical Experimentation with Dataset.mp4
176.86 MB
05 - Packaging the ML Models/002 Typical Experimentation with Dataset.srt
37.9 KB
05 - Packaging the ML Models/003 Model fit and generate Predictions.mp4
17.02 MB
05 - Packaging the ML Models/003 Model fit and generate Predictions.srt
5.9 KB
05 - Packaging the ML Models/004 Challenges in Working inside the Jupyter Notebook.mp4
115.6 MB
05 - Packaging the ML Models/004 Challenges in Working inside the Jupyter Notebook.srt
31.6 KB
05 - Packaging the ML Models/005 Understanding the Modular Programming.mp4
106.56 MB
05 - Packaging the ML Models/005 Understanding the Modular Programming.srt
24.65 KB
05 - Packaging the ML Models/006 Creating Folder Hierarchy for ML Project.mp4
100.71 MB
05 - Packaging the ML Models/006 Creating Folder Hierarchy for ML Project.srt
23.16 KB
05 - Packaging the ML Models/007 Create Config Module.mp4
166.11 MB
05 - Packaging the ML Models/007 Create Config Module.srt
29.65 KB
05 - Packaging the ML Models/008 Data Handling Module.mp4
61.42 MB
05 - Packaging the ML Models/008 Data Handling Module.srt
10.53 KB
05 - Packaging the ML Models/009 Data Preprocessing part 1.mp4
167.43 MB
05 - Packaging the ML Models/009 Data Preprocessing part 1.srt
33.36 KB
05 - Packaging the ML Models/010 Data Preprocessing part 2.mp4
23.15 MB
05 - Packaging the ML Models/010 Data Preprocessing part 2.srt
4.5 KB
05 - Packaging the ML Models/011 sklearn pipeline.mp4
99.28 MB
05 - Packaging the ML Models/011 sklearn pipeline.srt
16.27 KB
05 - Packaging the ML Models/012 Training Pipeline.mp4
80.03 MB
05 - Packaging the ML Models/012 Training Pipeline.srt
14.02 KB
05 - Packaging the ML Models/013 Prediction Pipeline.mp4
44.05 MB
05 - Packaging the ML Models/013 Prediction Pipeline.srt
11.67 KB
05 - Packaging the ML Models/014 Fixes on Python Scripts.mp4
24.97 MB
05 - Packaging the ML Models/014 Fixes on Python Scripts.srt
5.45 KB
05 - Packaging the ML Models/015 Add Python Path to MacOS.mp4
14.34 MB
05 - Packaging the ML Models/015 Add Python Path to MacOS.srt
4.68 KB
05 - Packaging the ML Models/016 Add Python Path to Windows.mp4
18.07 MB
05 - Packaging the ML Models/016 Add Python Path to Windows.srt
4.9 KB
05 - Packaging the ML Models/017 No module named prediction_model - fix.mp4
18.56 MB
05 - Packaging the ML Models/017 No module named prediction_model - fix.srt
3.88 KB
05 - Packaging the ML Models/018 Perform Training and Predictions.mp4
27.87 MB
05 - Packaging the ML Models/018 Perform Training and Predictions.srt
4.73 KB
05 - Packaging the ML Models/019 Requirements txt file.mp4
42.63 MB
05 - Packaging the ML Models/019 Requirements txt file.srt
7.82 KB
05 - Packaging the ML Models/020 Testing the New Virtual Environments.mp4
14.41 MB
05 - Packaging the ML Models/020 Testing the New Virtual Environments.srt
7.33 KB
05 - Packaging the ML Models/021 Create Python tests.mp4
42.48 MB
05 - Packaging the ML Models/021 Create Python tests.srt
18.99 KB
05 - Packaging the ML Models/022 Running Pytest.mp4
60.01 MB
05 - Packaging the ML Models/022 Running Pytest.srt
9.42 KB
05 - Packaging the ML Models/023 Create Manifest file.mp4
30.03 MB
05 - Packaging the ML Models/023 Create Manifest file.srt
7.24 KB
05 - Packaging the ML Models/024 Create Version File.mp4
10.17 MB
05 - Packaging the ML Models/024 Create Version File.srt
4.42 KB
05 - Packaging the ML Models/025 Create setup.py.mp4
84.46 MB
05 - Packaging the ML Models/025 Create setup.py.srt
12.3 KB
05 - Packaging the ML Models/026 Packagiing the ML Model & testing.mp4
132.49 MB
05 - Packaging the ML Models/026 Packagiing the ML Model & testing.srt
22.45 KB
05 - Packaging the ML Models/027 Summary.mp4
40.75 MB
05 - Packaging the ML Models/027 Summary.srt
7.31 KB
06 - Mlflow - Manage ML experiments/001 Introduction to Mlflow.mp4
57 MB
06 - Mlflow - Manage ML experiments/001 Introduction to Mlflow.srt
14.8 KB
06 - Mlflow - Manage ML experiments/002 Getting System Ready with mlflow.mp4
34.46 MB
06 - Mlflow - Manage ML experiments/002 Getting System Ready with mlflow.srt
8.29 KB
06 - Mlflow - Manage ML experiments/003 Logging Functions of Mlflow Tracking.mp4
77.6 MB
06 - Mlflow - Manage ML experiments/003 Logging Functions of Mlflow Tracking.srt
15.4 KB
06 - Mlflow - Manage ML experiments/004 Basic Mlflow tutorial.mp4
129.39 MB
06 - Mlflow - Manage ML experiments/004 Basic Mlflow tutorial.srt
25.39 KB
06 - Mlflow - Manage ML experiments/005 Exploration of mlflow.mp4
49.86 MB
06 - Mlflow - Manage ML experiments/005 Exploration of mlflow.srt
10.71 KB
06 - Mlflow - Manage ML experiments/006 Machine Learning Experiement on MLFlow.mp4
140.24 MB
06 - Mlflow - Manage ML experiments/006 Machine Learning Experiement on MLFlow.srt
26.4 KB
06 - Mlflow - Manage ML experiments/007 Create ML Model for Loan Prediction.mp4
91.35 MB
06 - Mlflow - Manage ML experiments/007 Create ML Model for Loan Prediction.srt
15.51 KB
06 - Mlflow - Manage ML experiments/008 MLFlow Project.mp4
152.08 MB
06 - Mlflow - Manage ML experiments/008 MLFlow Project.srt
28.37 KB
06 - Mlflow - Manage ML experiments/009 MLFlow Models.mp4
102.75 MB
06 - Mlflow - Manage ML experiments/009 MLFlow Models.srt
21.95 KB
06 - Mlflow - Manage ML experiments/010 Setting Up MySql Database Locally.mp4
41.55 MB
06 - Mlflow - Manage ML experiments/010 Setting Up MySql Database Locally.srt
11.16 KB
06 - Mlflow - Manage ML experiments/011 Log Model Metrics in MySql.mp4
124.64 MB
06 - Mlflow - Manage ML experiments/011 Log Model Metrics in MySql.srt
23.56 KB
06 - Mlflow - Manage ML experiments/012 Register the Model & Serve the Model.mp4
81.59 MB
06 - Mlflow - Manage ML experiments/012 Register the Model & Serve the Model.srt
24.59 KB
06 - Mlflow - Manage ML experiments/013 Summary.mp4
8.58 MB
06 - Mlflow - Manage ML experiments/013 Summary.srt
2.84 KB
07 - Docker for Machine Learning/001 Docker for Machine Learning.mp4
18.09 MB
07 - Docker for Machine Learning/001 Docker for Machine Learning.srt
5.53 KB
07 - Docker for Machine Learning/002 Introduction to Docker.mp4
137.63 MB
07 - Docker for Machine Learning/002 Introduction to Docker.srt
34.2 KB
07 - Docker for Machine Learning/003 Installation of Docker Desktop.mp4
29.53 MB
07 - Docker for Machine Learning/003 Installation of Docker Desktop.srt
0 B
07 - Docker for Machine Learning/004 Working with Docker.mp4
130.37 MB
07 - Docker for Machine Learning/004 Working with Docker.srt
24.55 KB
07 - Docker for Machine Learning/005 Running the Docker Container.mp4
81.41 MB
07 - Docker for Machine Learning/005 Running the Docker Container.srt
12.56 KB
07 - Docker for Machine Learning/006 Working with Dockerfile.mp4
89.54 MB
07 - Docker for Machine Learning/006 Working with Dockerfile.srt
14.94 KB
07 - Docker for Machine Learning/007 Push the Docker Image to DockerHub.mp4
22.17 MB
07 - Docker for Machine Learning/007 Push the Docker Image to DockerHub.srt
4.26 KB
07 - Docker for Machine Learning/008 Dockerize the ML Model.mp4
95.47 MB
07 - Docker for Machine Learning/008 Dockerize the ML Model.srt
15.2 KB
07 - Docker for Machine Learning/009 Packaging the training code in Docker Environment & Summary.mp4
68.54 MB
07 - Docker for Machine Learning/009 Packaging the training code in Docker Environment & Summary.srt
10.91 KB
08 - Build MLApps using FastAPI/001 What is API, REST and REST API.mp4
47.76 MB
08 - Build MLApps using FastAPI/001 What is API, REST and REST API.srt
8.62 KB
08 - Build MLApps using FastAPI/002 How REST API Works.mp4
72.89 MB
08 - Build MLApps using FastAPI/002 How REST API Works.srt
16.93 KB
08 - Build MLApps using FastAPI/003 What is FastAPI.mp4
32.17 MB
08 - Build MLApps using FastAPI/003 What is FastAPI.srt
6.33 KB
08 - Build MLApps using FastAPI/004 Crash course on FastAPI.mp4
122.29 MB
08 - Build MLApps using FastAPI/004 Crash course on FastAPI.srt
31.49 KB
08 - Build MLApps using FastAPI/005 Data Validation with Pydantic.mp4
18.61 MB
08 - Build MLApps using FastAPI/005 Data Validation with Pydantic.srt
9.03 KB
08 - Build MLApps using FastAPI/006 Deploying the Machine Learning Model with FastAPI.mp4
70.85 MB
08 - Build MLApps using FastAPI/006 Deploying the Machine Learning Model with FastAPI.srt
12.6 KB
09 - Build MLApps using Streamlit/001 Introduction to Streamit.mp4
18.73 MB
09 - Build MLApps using Streamlit/001 Introduction to Streamit.srt
5.16 KB
09 - Build MLApps using Streamlit/002 Hands On Working with Streamlit.mp4
107.01 MB
09 - Build MLApps using Streamlit/002 Hands On Working with Streamlit.srt
26.05 KB
09 - Build MLApps using Streamlit/003 Building the ML Model with Streamlit.mp4
330.01 MB
09 - Build MLApps using Streamlit/003 Building the ML Model with Streamlit.srt
47.85 KB
10 - Build MLApps using Flask/001 What is Flask.mp4
8.21 MB
10 - Build MLApps using Flask/001 What is Flask.srt
3.44 KB
10 - Build MLApps using Flask/002 Hands On Learning of Flask Library.mp4
123.9 MB
10 - Build MLApps using Flask/002 Hands On Learning of Flask Library.srt
28.88 KB
10 - Build MLApps using Flask/003 Build ML Model App with Flask.mp4
104.16 MB
10 - Build MLApps using Flask/003 Build ML Model App with Flask.srt
16.78 KB
11 - Lnux Operating System for DevOps and Data Scientists/001 Agenda of this section.mp4
3.36 MB
11 - Lnux Operating System for DevOps and Data Scientists/001 Agenda of this section.srt
2.51 KB
11 - Lnux Operating System for DevOps and Data Scientists/002 Linux Features & Bash.mp4
132.39 MB
11 - Lnux Operating System for DevOps and Data Scientists/002 Linux Features & Bash.srt
26.96 KB
11 - Lnux Operating System for DevOps and Data Scientists/003 How to Launch EC2 Instances (Quick Refresh).mp4
26.73 MB
11 - Lnux Operating System for DevOps and Data Scientists/003 How to Launch EC2 Instances (Quick Refresh).srt
8.83 KB
11 - Lnux Operating System for DevOps and Data Scientists/004 Basic Linux Commands of Linux.mp4
566.79 MB
11 - Lnux Operating System for DevOps and Data Scientists/004 Basic Linux Commands of Linux.srt
138.92 KB
12 - Working with CI CD Tool Jenkins/001 Introduction to Jenkins.mp4
87.31 MB
12 - Working with CI CD Tool Jenkins/001 Introduction to Jenkins.srt
20.19 KB
12 - Working with CI CD Tool Jenkins/002 How do we Use Jenkins in MLOps.mp4
8.25 MB
12 - Working with CI CD Tool Jenkins/002 How do we Use Jenkins in MLOps.srt
6.31 KB
12 - Working with CI CD Tool Jenkins/003 Prepare and Package ML Model.mp4
51.16 MB
12 - Working with CI CD Tool Jenkins/003 Prepare and Package ML Model.srt
11.77 KB
12 - Working with CI CD Tool Jenkins/004 Deploy as API with FASTAPI.mp4
141.44 MB
12 - Working with CI CD Tool Jenkins/004 Deploy as API with FASTAPI.srt
26.21 KB
12 - Working with CI CD Tool Jenkins/005 Test FastAPI App.mp4
96.83 MB
12 - Working with CI CD Tool Jenkins/005 Test FastAPI App.srt
14.54 KB
12 - Working with CI CD Tool Jenkins/006 Create Dockerfile.mp4
21.32 MB
12 - Working with CI CD Tool Jenkins/006 Create Dockerfile.srt
7.91 KB
12 - Working with CI CD Tool Jenkins/007 Exposing the Application Port as per Dockerfile.mp4
7.44 MB
12 - Working with CI CD Tool Jenkins/007 Exposing the Application Port as per Dockerfile.srt
2.08 KB
12 - Working with CI CD Tool Jenkins/008 Test Locally using Docker Containers.mp4
100.51 MB
12 - Working with CI CD Tool Jenkins/008 Test Locally using Docker Containers.srt
15.32 KB
12 - Working with CI CD Tool Jenkins/009 Installation of Jenkins on AWS EC2 Instances.mp4
84.2 MB
12 - Working with CI CD Tool Jenkins/009 Installation of Jenkins on AWS EC2 Instances.srt
15.7 KB
12 - Working with CI CD Tool Jenkins/010 Installation of Docker in EC2 Instance.mp4
40.66 MB
12 - Working with CI CD Tool Jenkins/010 Installation of Docker in EC2 Instance.srt
7.38 KB
12 - Working with CI CD Tool Jenkins/011 Configure Github Repo - Webhook - Jenkins Credentials.mp4
133.61 MB
12 - Working with CI CD Tool Jenkins/011 Configure Github Repo - Webhook - Jenkins Credentials.srt
26.6 KB
12 - Working with CI CD Tool Jenkins/012 Introduction to Jenkins FreeStyle Projects and Pipeline Jobs.mp4
16.44 MB
12 - Working with CI CD Tool Jenkins/012 Introduction to Jenkins FreeStyle Projects and Pipeline Jobs.srt
5.48 KB
12 - Working with CI CD Tool Jenkins/013 Exploration of Jenkins UI.mp4
7.11 MB
12 - Working with CI CD Tool Jenkins/013 Exploration of Jenkins UI.srt
5.07 KB
12 - Working with CI CD Tool Jenkins/014 Create your first First Jenkins Project.mp4
17.43 MB
12 - Working with CI CD Tool Jenkins/014 Create your first First Jenkins Project.srt
7.4 KB
12 - Working with CI CD Tool Jenkins/015 Test Github Webhook with Jenkins.mp4
100.24 MB
12 - Working with CI CD Tool Jenkins/015 Test Github Webhook with Jenkins.srt
20.9 KB
12 - Working with CI CD Tool Jenkins/016 Installation of Docker Plugin & System Readiness.mp4
64.73 MB
12 - Working with CI CD Tool Jenkins/016 Installation of Docker Plugin & System Readiness.srt
14.61 KB
12 - Working with CI CD Tool Jenkins/017 Setup Email Notification with Gmail.mp4
101.05 MB
12 - Working with CI CD Tool Jenkins/017 Setup Email Notification with Gmail.srt
17.44 KB
12 - Working with CI CD Tool Jenkins/018 Introduction to CI CT CD Pipeline.mp4
7.14 MB
12 - Working with CI CD Tool Jenkins/018 Introduction to CI CT CD Pipeline.srt
2.93 KB
12 - Working with CI CD Tool Jenkins/019 Create CI CT CD Pipeline - Github Dockerhub.mp4
131.79 MB
12 - Working with CI CD Tool Jenkins/019 Create CI CT CD Pipeline - Github Dockerhub.srt
21.14 KB
12 - Working with CI CD Tool Jenkins/020 Create CI CT CD Pipeline - Training.mp4
54.28 MB
12 - Working with CI CD Tool Jenkins/020 Create CI CT CD Pipeline - Training.srt
11.12 KB
12 - Working with CI CD Tool Jenkins/021 Create CI CT CD Pipeline - Testing.mp4
43.25 MB
12 - Working with CI CD Tool Jenkins/021 Create CI CT CD Pipeline - Testing.srt
7.48 KB
12 - Working with CI CD Tool Jenkins/022 Create CI CT CD Pipeline - Deployment.mp4
43.52 MB
12 - Working with CI CD Tool Jenkins/022 Create CI CT CD Pipeline - Deployment.srt
7.94 KB
12 - Working with CI CD Tool Jenkins/023 Perform Test of Pipeline.mp4
23.14 MB
12 - Working with CI CD Tool Jenkins/023 Perform Test of Pipeline.srt
4 KB
12 - Working with CI CD Tool Jenkins/024 Summary.mp4
30.98 MB
12 - Working with CI CD Tool Jenkins/024 Summary.srt
8.3 KB
13 - Monitoring and Debugging of ML System/001 Why Monitoring Machine Learning Models is Important.mp4
28.54 MB
13 - Monitoring and Debugging of ML System/001 Why Monitoring Machine Learning Models is Important.srt
5.26 KB
13 - Monitoring and Debugging of ML System/002 What is Monitoring of ML models & When to Update Model in Production.mp4
10.58 MB
13 - Monitoring and Debugging of ML System/002 What is Monitoring of ML models & When to Update Model in Production.srt
4.01 KB
13 - Monitoring and Debugging of ML System/003 Why Monitoring Machine Learning Models is Difficult.mp4
43.18 MB
13 - Monitoring and Debugging of ML System/003 Why Monitoring Machine Learning Models is Difficult.srt
15.2 KB
13 - Monitoring and Debugging of ML System/004 Challenge - Who Owns what.mp4
24.77 MB
13 - Monitoring and Debugging of ML System/004 Challenge - Who Owns what.srt
6.54 KB
13 - Monitoring and Debugging of ML System/005 Functional Level Monitoring.mp4
49.38 MB
13 - Monitoring and Debugging of ML System/005 Functional Level Monitoring.srt
17 KB
13 - Monitoring and Debugging of ML System/006 Model Drift.mp4
33.63 MB
13 - Monitoring and Debugging of ML System/006 Model Drift.srt
13.37 KB
13 - Monitoring and Debugging of ML System/007 Operational Level Monitoring.mp4
11.69 MB
13 - Monitoring and Debugging of ML System/007 Operational Level Monitoring.srt
4.25 KB
13 - Monitoring and Debugging of ML System/008 Tools and Best Practices of Machine Learning Model Monitoring.mp4
8.34 MB
13 - Monitoring and Debugging of ML System/008 Tools and Best Practices of Machine Learning Model Monitoring.srt
4 KB
14 - Continuous Monitoring with Prometheus/001 Introduction to Continuous Monitoring.mp4
48.02 MB
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14 - Continuous Monitoring with Prometheus/004 Architecture of Prometheus.mp4
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14 - Continuous Monitoring with Prometheus/005 Metric Types of Prometheus.mp4
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14 - Continuous Monitoring with Prometheus/006 Installation of Prometheus.mp4
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14 - Continuous Monitoring with Prometheus/007 Introduction Grafana.mp4
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15 - Deploy Applications with Docker Compose/001 Introduction to Docker Compose.mp4
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16 - Continuous Monitoring of Machine Learning Application/001 Architecture of ML Application Monitoring.mp4
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16 - Continuous Monitoring of Machine Learning Application/002 Hands On Monitoring of ML Application using Prometheus.mp4
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17 - Monitor the ML System with WhyLogs/001 Introduction to ML Monitoring.mp4
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17 - Monitor the ML System with WhyLogs/005 Summary.mp4
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18 - Post Productionizing ML Models/001 Post-Productionalizing ML Models - What Next.mp4
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18 - Post Productionizing ML Models/002 Model Security.mp4
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18 - Post Productionizing ML Models/003 Adversarial Attack.mp4
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18 - Post Productionizing ML Models/004 Data Poisoning Attack.mp4
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18 - Post Productionizing ML Models/005 Distributed Denial of Service Attack (DDOS).mp4
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18 - Post Productionizing ML Models/006 Data Privacy Attack.mp4
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18 - Post Productionizing ML Models/007 How to Mitigate Risk of Model Attacks.mp4
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18 - Post Productionizing ML Models/008 AB Testing.mp4
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18 - Post Productionizing ML Models/009 Future of MLOps.mp4
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19 - Reference Getting Started with AWS/001 What do we cover in this section.mp4
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19 - Reference Getting Started with AWS/002 Create AWS Account.mp4
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19 - Reference Getting Started with AWS/003 Setting up MFA on Root Account.mp4
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19 - Reference Getting Started with AWS/004 Create IAM Account and Account Alias.mp4
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19 - Reference Getting Started with AWS/005 Setup CLI with Credentials.mp4
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19 - Reference Getting Started with AWS/006 IAM Policy.mp4
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19 - Reference Getting Started with AWS/007 IAM Policy generator & attachment.mp4
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19 - Reference Getting Started with AWS/010 Creation of S3 Bucket from Console.mp4
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19 - Reference Getting Started with AWS/012 Version Enablement in S3.mp4
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19 - Reference Getting Started with AWS/013 Introduction EC2 instances.mp4
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19 - Reference Getting Started with AWS/014 Launch EC2 instance & SSH into EC2 Instances.mp4
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19 - Reference Getting Started with AWS/015 Clean Up Activity.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/001 Introduction to Numpy Library.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/012 np.arange().mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/014 Boolean Masking.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/016 Summary of Numpy Library Journey.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/017 Introduction to Pandas.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/018 Working with Pandas Series.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/020 Dataframes in Pandas.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/022 Combining the DataFrames.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/024 Advanced Functions in Pandas DataFrame.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/025 Introduction to EDA.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/026 Accessing Google Colab.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/027 Loading the Large Dataset for Working.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/028 Preliminary Analysis on DataFrame.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/029 Null values in the Dataframe.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/030 Data Cleaning.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/031 Introduction to Data Visualization.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/032 Matplotlib Basics.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/033 Types of Plot - Line plot.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/034 Line Plots Hands On.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/035 Adjusting the Plots.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/037 Scatter Plot.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/038 Scatter Plot hands on.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/039 Historgram Plot.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/040 Introduction to Seaborn.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/041 Exploring the data.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/042 Univariate & Bivariate Plots - Continuous Data.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/043 Plot - Categorical Data.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/044 Advanced Plots in Seaborn.mp4
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20 - Python for Data Science - Numpy - Pandas - Matplotlib - (Additional Learning)/045 Which Plot to use.mp4
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21 - Additional Learning on Topic of MLOps/001 MLOps with MLFlow in 1 Hour.mp4
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21 - Additional Learning on Topic of MLOps/002 Kubernetes 101 Part 1.mp4
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21 - Additional Learning on Topic of MLOps/004 Generative AI and Prompt Engineering Introduction.mp4
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21 - Additional Learning on Topic of MLOps/005 Bonus Understanding Transformer Architecture.mp4
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