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Udemy - MLOps Bootcamp Mastering AI Operations for Success - AIOps (7.2024)

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File Name
Size
01 - Introduction to Complete MLOps Bootcamp/001 What and Why MLOps.mp4
83 MB
01 - Introduction to Complete MLOps Bootcamp/001 What and Why MLOps.srt
4.9 kB
01 - Introduction to Complete MLOps Bootcamp/002 What and Why MLOps.html
9.3 kB
01 - Introduction to Complete MLOps Bootcamp/003 The Stages of MLOps.mp4
136 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
9.2 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
5.1 MB
02 - Python for MLOps/001 About the Section.srt
2.3 kB
02 - Python for MLOps/002 Python Quiz.html
20 kB
02 - Python for MLOps/003 Introduction to Python Programming.mp4
15 MB
02 - Python for MLOps/003 Introduction to Python Programming.srt
7.2 kB
02 - Python for MLOps/004 Install Anaconda.mp4
13 MB
02 - Python for MLOps/004 Install Anaconda.srt
3.3 kB
02 - Python for MLOps/005 Hello World - Python.mp4
31 MB
02 - Python for MLOps/005 Hello World - Python.srt
5.4 kB
02 - Python for MLOps/006 Jupyter Lab Quick Tour.mp4
22 MB
02 - Python for MLOps/006 Jupyter Lab Quick Tour.srt
8.0 kB
02 - Python for MLOps/007 Variables in Python.mp4
6.1 MB
02 - Python for MLOps/007 Variables in Python.srt
5.0 kB
02 - Python for MLOps/008 Variables in Python.html
8.7 kB
02 - Python for MLOps/009 Variables - Comments - Markdown Cells - Hands On.mp4
27 MB
02 - Python for MLOps/009 Variables - Comments - Markdown Cells - Hands On.srt
14 kB
02 - Python for MLOps/010 Python Literals - Hands On.mp4
46 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 MB
02 - Python for MLOps/011 Operators in Python Programming Language.srt
13 kB
02 - Python for MLOps/012 Collection - Strings.mp4
59 MB
02 - Python for MLOps/012 Collection - Strings.srt
16 kB
02 - Python for MLOps/013 Python String - Builtin Functions - Hands On.mp4
25 MB
02 - Python for MLOps/013 Python String - Builtin Functions - Hands On.srt
5.5 kB
02 - Python for MLOps/014 Data Structures - List.mp4
37 MB
02 - Python for MLOps/014 Data Structures - List.srt
11 kB
02 - Python for MLOps/015 Data Structures - Tuples.mp4
22 MB
02 - Python for MLOps/015 Data Structures - Tuples.srt
5.4 kB
02 - Python for MLOps/016 Data Structures - Dictionary.mp4
15 MB
02 - Python for MLOps/016 Data Structures - Dictionary.srt
6.3 kB
02 - Python for MLOps/017 Data Structures - Sets.mp4
20 MB
02 - Python for MLOps/017 Data Structures - Sets.srt
4.9 kB
02 - Python for MLOps/018 Explicit and Implicit Casting in Python Programming.mp4
12 MB
02 - Python for MLOps/018 Explicit and Implicit Casting in Python Programming.srt
6.4 kB
02 - Python for MLOps/019 Reading the Input from Keyboard.mp4
16 MB
02 - Python for MLOps/019 Reading the Input from Keyboard.srt
4.9 kB
02 - Python for MLOps/020 String Formatting.mp4
15 MB
02 - Python for MLOps/020 String Formatting.srt
6.4 kB
02 - Python for MLOps/021 Control Statements - Conditional Statements in Python.mp4
20 MB
02 - Python for MLOps/021 Control Statements - Conditional Statements in Python.srt
7.9 kB
02 - Python for MLOps/022 Control Statements - Looping Statements.mp4
34 MB
02 - Python for MLOps/022 Control Statements - Looping Statements.srt
17 kB
02 - Python for MLOps/023 List comprehension.mp4
14 MB
02 - Python for MLOps/023 List comprehension.srt
5.6 kB
02 - Python for MLOps/024 Functions.mp4
41 MB
02 - Python for MLOps/024 Functions.srt
14 kB
02 - Python for MLOps/025 Modules in Python.mp4
14 MB
02 - Python for MLOps/025 Modules in Python.srt
6.3 kB
02 - Python for MLOps/026 Classes in Python.mp4
29 MB
02 - Python for MLOps/026 Classes in Python.srt
8.9 kB
02 - Python for MLOps/027 File Handling in Python.mp4
43 MB
02 - Python for MLOps/027 File Handling in Python.srt
10 kB
02 - Python for MLOps/028 Working with Python Scripts.mp4
7.4 MB
02 - Python for MLOps/028 Working with Python Scripts.srt
3.4 kB
02 - Python for MLOps/029 Libraries in Python.mp4
8.5 MB
02 - Python for MLOps/029 Libraries in Python.srt
3.4 kB
03 - Git and Github Fundamentals for MLOps/001 Introduction to Version Control Systems.mp4
35 MB
03 - Git and Github Fundamentals for MLOps/001 Introduction to Version Control Systems.srt
13 kB
03 - Git and Github Fundamentals for MLOps/002 Getting Started with git.mp4
57 MB
03 - Git and Github Fundamentals for MLOps/002 Getting Started with git.srt
8.3 kB
03 - Git and Github Fundamentals for MLOps/003 Local Repo vs Remote Repo.mp4
27 MB
03 - Git and Github Fundamentals for MLOps/003 Local Repo vs Remote Repo.srt
6.0 kB
03 - Git and Github Fundamentals for MLOps/004 Git Configurations.mp4
26 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 MB
03 - Git and Github Fundamentals for MLOps/005 Getting Started with Local Repo.srt
10 kB
03 - Git and Github Fundamentals for MLOps/006 Concept of Working Directory - Staging Area - Commit.mp4
26 MB
03 - Git and Github Fundamentals for MLOps/006 Concept of Working Directory - Staging Area - Commit.srt
9.1 kB
03 - Git and Github Fundamentals for MLOps/007 Git Workflow - Local Repo.mp4
63 MB
03 - Git and Github Fundamentals for MLOps/007 Git Workflow - Local Repo.srt
15 kB
03 - Git and Github Fundamentals for MLOps/008 Git Branch.mp4
94 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 MB
03 - Git and Github Fundamentals for MLOps/009 Switching the Branches.srt
11 kB
03 - Git and Github Fundamentals for MLOps/010 Merging.mp4
72 MB
03 - Git and Github Fundamentals for MLOps/010 Merging.srt
11 kB
03 - Git and Github Fundamentals for MLOps/011 Checking Out Commits.mp4
54 MB
03 - Git and Github Fundamentals for MLOps/011 Checking Out Commits.srt
11 kB
03 - Git and Github Fundamentals for MLOps/012 Git Hosting Services.mp4
34 MB
03 - Git and Github Fundamentals for MLOps/012 Git Hosting Services.srt
7.2 kB
03 - Git and Github Fundamentals for MLOps/013 Working with Remote Repositories.mp4
54 MB
03 - Git and Github Fundamentals for MLOps/013 Working with Remote Repositories.srt
16 kB
03 - Git and Github Fundamentals for MLOps/014 Cloning and Delete Branches.mp4
56 MB
03 - Git and Github Fundamentals for MLOps/014 Cloning and Delete Branches.srt
9.8 kB
03 - Git and Github Fundamentals for MLOps/015 3 way merge.mp4
71 MB
03 - Git and Github Fundamentals for MLOps/015 3 way merge.srt
14 kB
03 - Git and Github Fundamentals for MLOps/016 Summary.mp4
11 MB
03 - Git and Github Fundamentals for MLOps/016 Summary.srt
3.8 kB
04 - Crash Course on YAML/001 YAML Crash Course.mp4
92 MB
04 - Crash Course on YAML/001 YAML Crash Course.srt
30 kB
05 - Packaging the ML Models/001 Introduction to Packaging the ML Models.mp4
47 MB
05 - Packaging the ML Models/001 Introduction to Packaging the ML Models.srt
7.8 kB
05 - Packaging the ML Models/002 Typical Experimentation with Dataset.mp4
177 MB
05 - Packaging the ML Models/002 Typical Experimentation with Dataset.srt
38 kB
05 - Packaging the ML Models/003 Model fit and generate Predictions.mp4
17 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
116 MB
05 - Packaging the ML Models/004 Challenges in Working inside the Jupyter Notebook.srt
32 kB
05 - Packaging the ML Models/005 Understanding the Modular Programming.mp4
107 MB
05 - Packaging the ML Models/005 Understanding the Modular Programming.srt
25 kB
05 - Packaging the ML Models/006 Creating Folder Hierarchy for ML Project.mp4
101 MB
05 - Packaging the ML Models/006 Creating Folder Hierarchy for ML Project.srt
23 kB
05 - Packaging the ML Models/007 Create Config Module.mp4
166 MB
05 - Packaging the ML Models/007 Create Config Module.srt
30 kB
05 - Packaging the ML Models/008 Data Handling Module.mp4
61 MB
05 - Packaging the ML Models/008 Data Handling Module.srt
10 kB
05 - Packaging the ML Models/009 Data Preprocessing part 1.mp4
167 MB
05 - Packaging the ML Models/009 Data Preprocessing part 1.srt
33 kB
05 - Packaging the ML Models/010 Data Preprocessing part 2.mp4
23 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 MB
05 - Packaging the ML Models/011 sklearn pipeline.srt
16 kB
05 - Packaging the ML Models/012 Training Pipeline.mp4
80 MB
05 - Packaging the ML Models/012 Training Pipeline.srt
14 kB
05 - Packaging the ML Models/013 Prediction Pipeline.mp4
44 MB
05 - Packaging the ML Models/013 Prediction Pipeline.srt
12 kB
05 - Packaging the ML Models/014 Fixes on Python Scripts.mp4
25 MB
05 - Packaging the ML Models/014 Fixes on Python Scripts.srt
5.5 kB
05 - Packaging the ML Models/015 Add Python Path to MacOS.mp4
14 MB
05 - Packaging the ML Models/015 Add Python Path to MacOS.srt
4.7 kB
05 - Packaging the ML Models/016 Add Python Path to Windows.mp4
18 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
19 MB
05 - Packaging the ML Models/017 No module named prediction_model - fix.srt
3.9 kB
05 - Packaging the ML Models/018 Perform Training and Predictions.mp4
28 MB
05 - Packaging the ML Models/018 Perform Training and Predictions.srt
4.7 kB
05 - Packaging the ML Models/019 Requirements txt file.mp4
43 MB
05 - Packaging the ML Models/019 Requirements txt file.srt
7.8 kB
05 - Packaging the ML Models/020 Testing the New Virtual Environments.mp4
14 MB
05 - Packaging the ML Models/020 Testing the New Virtual Environments.srt
7.3 kB
05 - Packaging the ML Models/021 Create Python tests.mp4
42 MB
05 - Packaging the ML Models/021 Create Python tests.srt
19 kB
05 - Packaging the ML Models/022 Running Pytest.mp4
60 MB
05 - Packaging the ML Models/022 Running Pytest.srt
9.4 kB
05 - Packaging the ML Models/023 Create Manifest file.mp4
30 MB
05 - Packaging the ML Models/023 Create Manifest file.srt
7.2 kB
05 - Packaging the ML Models/024 Create Version File.mp4
10 MB
05 - Packaging the ML Models/024 Create Version File.srt
4.4 kB
05 - Packaging the ML Models/025 Create setup.py.mp4
84 MB
05 - Packaging the ML Models/025 Create setup.py.srt
12 kB
05 - Packaging the ML Models/026 Packagiing the ML Model & testing.mp4
132 MB
05 - Packaging the ML Models/026 Packagiing the ML Model & testing.srt
22 kB
05 - Packaging the ML Models/027 Summary.mp4
41 MB
05 - Packaging the ML Models/027 Summary.srt
7.3 kB
06 - Mlflow - Manage ML experiments/001 Introduction to Mlflow.mp4
57 MB
06 - Mlflow - Manage ML experiments/001 Introduction to Mlflow.srt
15 kB
06 - Mlflow - Manage ML experiments/002 Getting System Ready with mlflow.mp4
34 MB
06 - Mlflow - Manage ML experiments/002 Getting System Ready with mlflow.srt
8.3 kB
06 - Mlflow - Manage ML experiments/003 Logging Functions of Mlflow Tracking.mp4
78 MB
06 - Mlflow - Manage ML experiments/003 Logging Functions of Mlflow Tracking.srt
15 kB
06 - Mlflow - Manage ML experiments/004 Basic Mlflow tutorial.mp4
129 MB
06 - Mlflow - Manage ML experiments/004 Basic Mlflow tutorial.srt
25 kB
06 - Mlflow - Manage ML experiments/005 Exploration of mlflow.mp4
50 MB
06 - Mlflow - Manage ML experiments/005 Exploration of mlflow.srt
11 kB
06 - Mlflow - Manage ML experiments/006 Machine Learning Experiement on MLFlow.mp4
140 MB
06 - Mlflow - Manage ML experiments/006 Machine Learning Experiement on MLFlow.srt
26 kB
06 - Mlflow - Manage ML experiments/007 Create ML Model for Loan Prediction.mp4
91 MB
06 - Mlflow - Manage ML experiments/007 Create ML Model for Loan Prediction.srt
16 kB
06 - Mlflow - Manage ML experiments/008 MLFlow Project.mp4
152 MB
06 - Mlflow - Manage ML experiments/008 MLFlow Project.srt
28 kB
06 - Mlflow - Manage ML experiments/009 MLFlow Models.mp4
103 MB
06 - Mlflow - Manage ML experiments/009 MLFlow Models.srt
22 kB
06 - Mlflow - Manage ML experiments/010 Setting Up MySql Database Locally.mp4
42 MB
06 - Mlflow - Manage ML experiments/010 Setting Up MySql Database Locally.srt
11 kB
06 - Mlflow - Manage ML experiments/011 Log Model Metrics in MySql.mp4
125 MB
06 - Mlflow - Manage ML experiments/011 Log Model Metrics in MySql.srt
24 kB
06 - Mlflow - Manage ML experiments/012 Register the Model & Serve the Model.mp4
82 MB
06 - Mlflow - Manage ML experiments/012 Register the Model & Serve the Model.srt
25 kB
06 - Mlflow - Manage ML experiments/013 Summary.mp4
8.6 MB
06 - Mlflow - Manage ML experiments/013 Summary.srt
2.8 kB
07 - Docker for Machine Learning/001 Docker for Machine Learning.mp4
18 MB
07 - Docker for Machine Learning/001 Docker for Machine Learning.srt
5.5 kB
07 - Docker for Machine Learning/002 Introduction to Docker.mp4
138 MB
07 - Docker for Machine Learning/002 Introduction to Docker.srt
34 kB
07 - Docker for Machine Learning/003 Installation of Docker Desktop.mp4
30 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 MB
07 - Docker for Machine Learning/004 Working with Docker.srt
25 kB
07 - Docker for Machine Learning/005 Running the Docker Container.mp4
81 MB
07 - Docker for Machine Learning/005 Running the Docker Container.srt
13 kB
07 - Docker for Machine Learning/006 Working with Dockerfile.mp4
90 MB
07 - Docker for Machine Learning/006 Working with Dockerfile.srt
15 kB
07 - Docker for Machine Learning/007 Push the Docker Image to DockerHub.mp4
22 MB
07 - Docker for Machine Learning/007 Push the Docker Image to DockerHub.srt
4.3 kB
07 - Docker for Machine Learning/008 Dockerize the ML Model.mp4
96 MB
07 - Docker for Machine Learning/008 Dockerize the ML Model.srt
15 kB
07 - Docker for Machine Learning/009 Packaging the training code in Docker Environment & Summary.mp4
68 MB
07 - Docker for Machine Learning/009 Packaging the training code in Docker Environment & Summary.srt
11 kB
08 - Build MLApps using FastAPI/001 What is API, REST and REST API.mp4
48 MB
08 - Build MLApps using FastAPI/001 What is API, REST and REST API.srt
8.6 kB
08 - Build MLApps using FastAPI/002 How REST API Works.mp4
73 MB
08 - Build MLApps using FastAPI/002 How REST API Works.srt
17 kB
08 - Build MLApps using FastAPI/003 What is FastAPI.mp4
32 MB
08 - Build MLApps using FastAPI/003 What is FastAPI.srt
6.3 kB
08 - Build MLApps using FastAPI/004 Crash course on FastAPI.mp4
122 MB
08 - Build MLApps using FastAPI/004 Crash course on FastAPI.srt
32 kB
08 - Build MLApps using FastAPI/005 Data Validation with Pydantic.mp4
19 MB
08 - Build MLApps using FastAPI/005 Data Validation with Pydantic.srt
9.0 kB
08 - Build MLApps using FastAPI/006 Deploying the Machine Learning Model with FastAPI.mp4
71 MB
08 - Build MLApps using FastAPI/006 Deploying the Machine Learning Model with FastAPI.srt
13 kB
09 - Build MLApps using Streamlit/001 Introduction to Streamit.mp4
19 MB
09 - Build MLApps using Streamlit/001 Introduction to Streamit.srt
5.2 kB
09 - Build MLApps using Streamlit/002 Hands On Working with Streamlit.mp4
107 MB
09 - Build MLApps using Streamlit/002 Hands On Working with Streamlit.srt
26 kB
09 - Build MLApps using Streamlit/003 Building the ML Model with Streamlit.mp4
330 MB
09 - Build MLApps using Streamlit/003 Building the ML Model with Streamlit.srt
48 kB
10 - Build MLApps using Flask/001 What is Flask.mp4
8.2 MB
10 - Build MLApps using Flask/001 What is Flask.srt
3.4 kB
10 - Build MLApps using Flask/002 Hands On Learning of Flask Library.mp4
124 MB
10 - Build MLApps using Flask/002 Hands On Learning of Flask Library.srt
29 kB
10 - Build MLApps using Flask/003 Build ML Model App with Flask.mp4
104 MB
10 - Build MLApps using Flask/003 Build ML Model App with Flask.srt
17 kB
11 - Lnux Operating System for DevOps and Data Scientists/001 Agenda of this section.mp4
3.4 MB
11 - Lnux Operating System for DevOps and Data Scientists/001 Agenda of this section.srt
2.5 kB
11 - Lnux Operating System for DevOps and Data Scientists/002 Linux Features & Bash.mp4
132 MB
11 - Lnux Operating System for DevOps and Data Scientists/002 Linux Features & Bash.srt
27 kB
11 - Lnux Operating System for DevOps and Data Scientists/003 How to Launch EC2 Instances (Quick Refresh).mp4
27 MB
11 - Lnux Operating System for DevOps and Data Scientists/003 How to Launch EC2 Instances (Quick Refresh).srt
8.8 kB
11 - Lnux Operating System for DevOps and Data Scientists/004 Basic Linux Commands of Linux.mp4
567 MB
11 - Lnux Operating System for DevOps and Data Scientists/004 Basic Linux Commands of Linux.srt
139 kB
12 - Working with CI CD Tool Jenkins/001 Introduction to Jenkins.mp4
87 MB
12 - Working with CI CD Tool Jenkins/001 Introduction to Jenkins.srt
20 kB
12 - Working with CI CD Tool Jenkins/002 How do we Use Jenkins in MLOps.mp4
8.2 MB
12 - Working with CI CD Tool Jenkins/002 How do we Use Jenkins in MLOps.srt
6.3 kB
12 - Working with CI CD Tool Jenkins/003 Prepare and Package ML Model.mp4
51 MB
12 - Working with CI CD Tool Jenkins/003 Prepare and Package ML Model.srt
12 kB
12 - Working with CI CD Tool Jenkins/004 Deploy as API with FASTAPI.mp4
141 MB
12 - Working with CI CD Tool Jenkins/004 Deploy as API with FASTAPI.srt
26 kB
12 - Working with CI CD Tool Jenkins/005 Test FastAPI App.mp4
97 MB
12 - Working with CI CD Tool Jenkins/005 Test FastAPI App.srt
14 kB
12 - Working with CI CD Tool Jenkins/006 Create Dockerfile.mp4
21 MB
12 - Working with CI CD Tool Jenkins/006 Create Dockerfile.srt
7.9 kB
12 - Working with CI CD Tool Jenkins/007 Exposing the Application Port as per Dockerfile.mp4
7.4 MB
12 - Working with CI CD Tool Jenkins/007 Exposing the Application Port as per Dockerfile.srt
2.1 kB
12 - Working with CI CD Tool Jenkins/008 Test Locally using Docker Containers.mp4
100 MB
12 - Working with CI CD Tool Jenkins/008 Test Locally using Docker Containers.srt
15 kB
12 - Working with CI CD Tool Jenkins/009 Installation of Jenkins on AWS EC2 Instances.mp4
84 MB
12 - Working with CI CD Tool Jenkins/009 Installation of Jenkins on AWS EC2 Instances.srt
16 kB
12 - Working with CI CD Tool Jenkins/010 Installation of Docker in EC2 Instance.mp4
41 MB
12 - Working with CI CD Tool Jenkins/010 Installation of Docker in EC2 Instance.srt
7.4 kB
12 - Working with CI CD Tool Jenkins/011 Configure Github Repo - Webhook - Jenkins Credentials.mp4
134 MB
12 - Working with CI CD Tool Jenkins/011 Configure Github Repo - Webhook - Jenkins Credentials.srt
27 kB
12 - Working with CI CD Tool Jenkins/012 Introduction to Jenkins FreeStyle Projects and Pipeline Jobs.mp4
16 MB
12 - Working with CI CD Tool Jenkins/012 Introduction to Jenkins FreeStyle Projects and Pipeline Jobs.srt
5.5 kB
12 - Working with CI CD Tool Jenkins/013 Exploration of Jenkins UI.mp4
7.1 MB
12 - Working with CI CD Tool Jenkins/013 Exploration of Jenkins UI.srt
5.1 kB
12 - Working with CI CD Tool Jenkins/014 Create your first First Jenkins Project.mp4
17 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 MB
12 - Working with CI CD Tool Jenkins/015 Test Github Webhook with Jenkins.srt
21 kB
12 - Working with CI CD Tool Jenkins/016 Installation of Docker Plugin & System Readiness.mp4
65 MB
12 - Working with CI CD Tool Jenkins/016 Installation of Docker Plugin & System Readiness.srt
15 kB
12 - Working with CI CD Tool Jenkins/017 Setup Email Notification with Gmail.mp4
101 MB
12 - Working with CI CD Tool Jenkins/017 Setup Email Notification with Gmail.srt
17 kB
12 - Working with CI CD Tool Jenkins/018 Introduction to CI CT CD Pipeline.mp4
7.1 MB
12 - Working with CI CD Tool Jenkins/018 Introduction to CI CT CD Pipeline.srt
2.9 kB
12 - Working with CI CD Tool Jenkins/019 Create CI CT CD Pipeline - Github Dockerhub.mp4
132 MB
12 - Working with CI CD Tool Jenkins/019 Create CI CT CD Pipeline - Github Dockerhub.srt
21 kB
12 - Working with CI CD Tool Jenkins/020 Create CI CT CD Pipeline - Training.mp4
54 MB
12 - Working with CI CD Tool Jenkins/020 Create CI CT CD Pipeline - Training.srt
11 kB
12 - Working with CI CD Tool Jenkins/021 Create CI CT CD Pipeline - Testing.mp4
43 MB
12 - Working with CI CD Tool Jenkins/021 Create CI CT CD Pipeline - Testing.srt
7.5 kB
12 - Working with CI CD Tool Jenkins/022 Create CI CT CD Pipeline - Deployment.mp4
44 MB
12 - Working with CI CD Tool Jenkins/022 Create CI CT CD Pipeline - Deployment.srt
7.9 kB
12 - Working with CI CD Tool Jenkins/023 Perform Test of Pipeline.mp4
23 MB
12 - Working with CI CD Tool Jenkins/023 Perform Test of Pipeline.srt
4.0 kB
12 - Working with CI CD Tool Jenkins/024 Summary.mp4
31 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 MB
13 - Monitoring and Debugging of ML System/001 Why Monitoring Machine Learning Models is Important.srt
5.3 kB
13 - Monitoring and Debugging of ML System/002 What is Monitoring of ML models & When to Update Model in Production.mp4
11 MB
13 - Monitoring and Debugging of ML System/002 What is Monitoring of ML models & When to Update Model in Production.srt
4.0 kB
13 - Monitoring and Debugging of ML System/003 Why Monitoring Machine Learning Models is Difficult.mp4
43 MB
13 - Monitoring and Debugging of ML System/003 Why Monitoring Machine Learning Models is Difficult.srt
15 kB
13 - Monitoring and Debugging of ML System/004 Challenge - Who Owns what.mp4
25 MB
13 - Monitoring and Debugging of ML System/004 Challenge - Who Owns what.srt
6.5 kB
13 - Monitoring and Debugging of ML System/005 Functional Level Monitoring.mp4
49 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
34 MB
13 - Monitoring and Debugging of ML System/006 Model Drift.srt
13 kB
13 - Monitoring and Debugging of ML System/007 Operational Level Monitoring.mp4
12 MB
13 - Monitoring and Debugging of ML System/007 Operational Level Monitoring.srt
4.3 kB
13 - Monitoring and Debugging of ML System/008 Tools and Best Practices of Machine Learning Model Monitoring.mp4
8.3 MB
13 - Monitoring and Debugging of ML System/008 Tools and Best Practices of Machine Learning Model Monitoring.srt
4.0 kB
14 - Continuous Monitoring with Prometheus/001 Introduction to Continuous Monitoring.mp4
48 MB
14 - Continuous Monitoring with Prometheus/001 Introduction to Continuous Monitoring.srt
11 kB
14 - Continuous Monitoring with Prometheus/002 Use case on Continuous Monitoring.mp4
11 MB
14 - Continuous Monitoring with Prometheus/002 Use case on Continuous Monitoring.srt
4.6 kB
14 - Continuous Monitoring with Prometheus/003 Introduction to Prometheus.mp4
10 MB
14 - Continuous Monitoring with Prometheus/003 Introduction to Prometheus.srt
5.7 kB
14 - Continuous Monitoring with Prometheus/004 Architecture of Prometheus.mp4
64 MB
14 - Continuous Monitoring with Prometheus/004 Architecture of Prometheus.srt
16 kB
14 - Continuous Monitoring with Prometheus/005 Metric Types of Prometheus.mp4
13 MB
14 - Continuous Monitoring with Prometheus/005 Metric Types of Prometheus.srt
5.3 kB
14 - Continuous Monitoring with Prometheus/006 Installation of Prometheus.mp4
114 MB
14 - Continuous Monitoring with Prometheus/006 Installation of Prometheus.srt
20 kB
14 - Continuous Monitoring with Prometheus/007 Introduction Grafana.mp4
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14 - Continuous Monitoring with Prometheus/008 Installation of Grafana.mp4
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14 - Continuous Monitoring with Prometheus/009 Prometheus Configuration file.mp4
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14 - Continuous Monitoring with Prometheus/010 Exploring the Basic Querying Prometheus.mp4
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14 - Continuous Monitoring with Prometheus/011 Monitor the Infrastructure with Prometheus.mp4
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14 - Continuous Monitoring with Prometheus/012 Monitor the Linux Server with Node Exporter.mp4
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14 - Continuous Monitoring with Prometheus/013 Monitor the Client Application using Prometheus.mp4
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14 - Continuous Monitoring with Prometheus/014 Monitor the FastAPI Application using Prometheus.mp4
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14 - Continuous Monitoring with Prometheus/015 Monitor All EndPoints using Prometheus.mp4
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14 - Continuous Monitoring with Prometheus/016 Create Visualization with Grafana.mp4
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14 - Continuous Monitoring with Prometheus/017 Trigger Alerts with Grafana.mp4
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15 - Deploy Applications with Docker Compose/001 Introduction to Docker Compose.mp4
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15 - Deploy Applications with Docker Compose/002 Hands On - Docker Compose with Flask Application.mp4
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15 - Deploy Applications with Docker Compose/003 Hands On - Docker Compose Prometheus Grafana.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/002 Setting Up WhyLabs.mp4
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17 - Monitor the ML System with WhyLogs/003 Whylogs - Drift Detection, Input, Output, Bias Monitoring.mp4
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17 - Monitor the ML System with WhyLogs/004 WhyLogs - Constraints and Drift Reports.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/006 IAM Policy.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/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)/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)/020 Dataframes in Pandas.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)/028 Preliminary Analysis on DataFrame.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)/037 Scatter Plot.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
39 MB
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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/003 Kubernetes 101 Part 2.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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