1 What and Why MLOps.mp4 (82.88 MB)
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2 The Stages of MLOps.mp4 (136.31 MB)
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1 Agenda of this section.mp4 (11.28 MB)
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2 Linux Features & Bash.mp4 (205.15 MB)
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3 How to Launch EC2 Instances (Quick Refresh).mp4 (52.34 MB)
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4 Basic Linux Commands of Linux.mp4 (607.07 MB)
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1 Introduction to Jenkins.mp4 (125.52 MB)
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10 Installation of Docker in EC2 Instance.mp4 (42.23 MB)
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11 Configure Github Repo - Webhook - Jenkins Credentials.mp4 (139.26 MB)
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12 Introduction to Jenkins FreeStyle Projects and Pipeline Jobs.mp4 (38.29 MB)
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13 Exploration of Jenkins UI.mp4 (18.52 MB)
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14 Create your first First Jenkins Project.mp4 (35.52 MB)
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15 Test Github Webhook with Jenkins.mp4 (105.66 MB)
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16 Installation of Docker Plugin & System Readiness.mp4 (68.28 MB)
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17 Setup Email Notification with Gmail.mp4 (104.77 MB)
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18 Introduction to CI CT CD Pipeline.mp4 (13.59 MB)
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19 Create CI CT CD Pipeline - Github Dockerhub.mp4 (135.47 MB)
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2 How do we Use Jenkins in MLOps.mp4 (19.14 MB)
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20 Create CI CT CD Pipeline - Training.mp4 (57.06 MB)
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21 Create CI CT CD Pipeline - Testing.mp4 (44.78 MB)
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22 Create CI CT CD Pipeline - Deployment.mp4 (45.3 MB)
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23 Perform Test of Pipeline.mp4 (28.23 MB)
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24 Summary.mp4 (41.35 MB)
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3 Prepare and Package ML Model.mp4 (54.23 MB)
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4 Deploy as API with FASTAPI.mp4 (147.76 MB)
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5 Test FastAPI App.mp4 (99.17 MB)
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6 Create Dockerfile.mp4 (44.57 MB)
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7 Exposing the Application Port as per Dockerfile.mp4 (14.73 MB)
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8 Test Locally using Docker Containers.mp4 (103.83 MB)
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9 Installation of Jenkins on AWS EC2 Instances.mp4 (98.69 MB)
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1 Why Monitoring Machine Learning Models is Important.mp4 (50.54 MB)
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2 What is Monitoring of ML models & When to Update Model in Production.mp4 (22.79 MB)
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3 Why Monitoring Machine Learning Models is Difficult.mp4 (92.2 MB)
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4 Challenge - Who Owns what.mp4 (36.78 MB)
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5 Functional Level Monitoring.mp4 (102.28 MB)
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6 Model Drift.mp4 (64.18 MB)
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7 Operational Level Monitoring.mp4 (24.35 MB)
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8 Tools and Best Practices of Machine Learning Model Monitoring.mp4 (19.45 MB)
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1 Introduction to Continuous Monitoring.mp4 (63.9 MB)
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10 Exploring the Basic Querying Prometheus.mp4 (65.9 MB)
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11 Monitor the Infrastructure with Prometheus.mp4 (29.63 MB)
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12 Monitor the Linux Server with Node Exporter.mp4 (92.67 MB)
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13 Monitor the Client Application using Prometheus.mp4 (28.56 MB)
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14 Monitor the FastAPI Application using Prometheus.mp4 (106.88 MB)
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15 Monitor All EndPoints using Prometheus.mp4 (58.93 MB)
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16 Create Visualization with Grafana.mp4 (123.74 MB)
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17 Trigger Alerts with Grafana.mp4 (105.24 MB)
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2 Use case on Continuous Monitoring.mp4 (27.08 MB)
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3 Introduction to Prometheus.mp4 (29.65 MB)
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4 Architecture of Prometheus.mp4 (88.98 MB)
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5 Metric Types of Prometheus.mp4 (29.89 MB)
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6 Installation of Prometheus.mp4 (117.41 MB)
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7 Introduction Grafana.mp4 (12.56 MB)
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8 Installation of Grafana.mp4 (44.36 MB)
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9 Prometheus Configuration file.mp4 (75.68 MB)
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1 Introduction to Docker Compose.mp4 (27.08 MB)
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2 Hands On - Docker Compose with Flask Application.mp4 (157.13 MB)
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3 Hands On - Docker Compose Prometheus Grafana.mp4 (139.07 MB)
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1 Architecture of ML Application Monitoring.mp4 (43.96 MB)
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2 Hands On Monitoring of ML Application using Prometheus.mp4 (130.12 MB)
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1 Introduction to ML Monitoring.mp4 (63.17 MB)
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2 Setting Up WhyLabs.mp4 (13.75 MB)
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3 Whylogs - Drift Detection, Input, Output, Bias Monitoring.mp4 (398.1 MB)
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4 WhyLogs - Constraints and Drift Reports.mp4 (96.61 MB)
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5 Summary.mp4 (14.9 MB)
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1 Post-Productionalizing ML Models - What Next.mp4 (28.26 MB)
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2 Model Security.mp4 (13.05 MB)
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3 Adversarial Attack.mp4 (16.95 MB)
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4 Data Poisoning Attack.mp4 (4.42 MB)
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5 Distributed Denial of Service Attack (DDOS).mp4 (4.08 MB)
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6 Data Privacy Attack.mp4 (9.48 MB)
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7 How to Mitigate Risk of Model Attacks.mp4 (22.42 MB)
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8 AB Testing.mp4 (37.38 MB)
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9 Future of MLOps.mp4 (18.31 MB)
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1 What do we cover in this section.mp4 (11.62 MB)
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10 Creation of S3 Bucket from Console.mp4 (59.79 MB)
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11 Creation of S3 Bucket from CLI.mp4 (38.36 MB)
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12 Version Enablement in S3.mp4 (45.27 MB)
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13 Introduction EC2 instances.mp4 (43.98 MB)
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14 Launch EC2 instance & SSH into EC2 Instances.mp4 (63.24 MB)
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15 Clean Up Activity.mp4 (7.24 MB)
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2 Create AWS Account.mp4 (46.52 MB)
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3 Setting up MFA on Root Account.mp4 (59.01 MB)
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4 Create IAM Account and Account Alias.mp4 (57.25 MB)
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5 Setup CLI with Credentials.mp4 (40.59 MB)
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6 IAM Policy.mp4 (19.33 MB)
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7 IAM Policy generator & attachment.mp4 (59.02 MB)
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8 Delete the IAM User.mp4 (8.87 MB)
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9 S3 Bucket and Storage Classes.mp4 (128.72 MB)
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1 Introduction to Numpy Library.mp4 (47.95 MB)
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10 Linear Algebra Functions in Numpy.mp4 (16.59 MB)
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11 Shape Modification of Arrays.mp4 (50.99 MB)
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12 np arange().mp4 (17.57 MB)
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13 Relational Operators & Aggregation Functions on Numpy Arrays.mp4 (35.8 MB)
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14 Boolean Masking.mp4 (9.16 MB)
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15 Broadcasting on Numpy Arrays.mp4 (120.64 MB)
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16 Summary of Numpy Library Journey.mp4 (18.9 MB)
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17 Introduction to Pandas.mp4 (18.13 MB)
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18 Working with Pandas Series.mp4 (55.53 MB)
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19 Mathematical Operation on Pandas Series.mp4 (14.09 MB)
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2 Basics of numpy array object.mp4 (15.11 MB)
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20 Dataframes in Pandas.mp4 (85.35 MB)
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21 Working with Data in Pandas DataFrame.mp4 (64.24 MB)
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22 Combining the DataFrames.mp4 (76.98 MB)
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23 Other Functions on Pandas DataFrame.mp4 (66.74 MB)
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24 Advanced Functions in Pandas DataFrame.mp4 (136.31 MB)
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25 Introduction to EDA.mp4 (16.23 MB)
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26 Accessing Google Colab.mp4 (23.9 MB)
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27 Loading the Large Dataset for Working.mp4 (48.36 MB)
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28 Preliminary Analysis on DataFrame.mp4 (76.2 MB)
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29 Null values in the Dataframe.mp4 (53.22 MB)
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3 Import Numpy & Access help.mp4 (20.98 MB)
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30 Data Cleaning.mp4 (67.55 MB)
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31 Introduction to Data Visualization.mp4 (62.17 MB)
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32 Matplotlib Basics.mp4 (51 MB)
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33 Types of Plot - Line plot.mp4 (13.45 MB)
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34 Line Plots Hands On.mp4 (48.39 MB)
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35 Adjusting the Plots.mp4 (50.11 MB)
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36 Plot Adjustment Hands On.mp4 (42.54 MB)
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37 Scatter Plot.mp4 (18.4 MB)
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38 Scatter Plot hands on.mp4 (56.78 MB)
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39 Historgram Plot.mp4 (29.51 MB)
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4 Creation of Array Object - np array().mp4 (22.35 MB)
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40 Introduction to Seaborn.mp4 (17.55 MB)
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41 Exploring the data.mp4 (69.93 MB)
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42 Univariate & Bivariate Plots - Continuous Data.mp4 (74.13 MB)
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43 Plot - Categorical Data.mp4 (50.39 MB)
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44 Advanced Plots in Seaborn.mp4 (39.58 MB)
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45 Which Plot to use.mp4 (27.6 MB)
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5 Attributes of Numpy Array.mp4 (15.08 MB)
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6 Array Indexing and Slicing.mp4 (45.48 MB)
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7 Array Creation Functions.mp4 (59.27 MB)
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8 Copy Arrays.mp4 (21.16 MB)
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9 Mathematical Operation on Numpy Arrays.mp4 (19.22 MB)
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1 About the Section.mp4 (14.42 MB)
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10 Operators in Python Programming Language.mp4 (56.69 MB)
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11 Collection - Strings.mp4 (76.84 MB)
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12 Python String - Builtin Functions - Hands On.mp4 (28.93 MB)
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13 Data Structures - List.mp4 (47.96 MB)
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14 Data Structures - Tuples.mp4 (28.68 MB)
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15 Data Structures - Dictionary.mp4 (28 MB)
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16 Data Structures - Sets.mp4 (26.91 MB)
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17 Explicit and Implicit Casting in Python Programming.mp4 (23.93 MB)
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18 Reading the Input from Keyboard.mp4 (21.33 MB)
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19 String Formatting.mp4 (28.15 MB)
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20 Control Statements - Conditional Statements in Python.mp4 (36.28 MB)
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21 Control Statements - Looping Statements.mp4 (67.02 MB)
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22 List comprehension.mp4 (25.74 MB)
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23 Functions.mp4 (54.74 MB)
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24 Modules in Python.mp4 (26.94 MB)
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25 Classes in Python.mp4 (57.71 MB)
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26 File Handling in Python.mp4 (49.54 MB)
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27 Working with Python Scripts.mp4 (13.53 MB)
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28 Libraries in Python.mp4 (17.05 MB)
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3 Introduction to Python Programming.mp4 (35.55 MB)
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4 Install Anaconda.mp4 (13.87 MB)
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5 Hello World - Python.mp4 (32.45 MB)
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6 Jupyter Lab Quick Tour.mp4 (38.91 MB)
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7 Variables in Python.mp4 (15.37 MB)
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8 Variables - Comments - Markdown Cells - Hands On.mp4 (53.37 MB)
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9 Python Literals - Hands On.mp4 (60.76 MB)
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1 MLOps with MLFlow in 1 Hour.mp4 (427.52 MB)
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2 Kubernetes 101 Part 1.mp4 (208.21 MB)
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3 Kubernetes 101 Part 2.mp4 (427.46 MB)
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1 Introduction to Version Control Systems.mp4 (68.65 MB)
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10 Merging.mp4 (74.44 MB)
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11 Checking Out Commits.mp4 (57.74 MB)
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12 Git Hosting Services.mp4 (39.16 MB)
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13 Working with Remote Repositories.mp4 (73.33 MB)
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14 Cloning and Delete Branches.mp4 (58.39 MB)
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15 3 way merge.mp4 (74.31 MB)
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16 Summary.mp4 (24.74 MB)
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2 Getting Started with git.mp4 (58.4 MB)
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3 Local Repo vs Remote Repo.mp4 (64.09 MB)
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4 Git Configurations.mp4 (28.36 MB)
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5 Getting Started with Local Repo.mp4 (59.17 MB)
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6 Concept of Working Directory - Staging Area - Commit.mp4 (60.77 MB)
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7 Git Workflow - Local Repo.mp4 (87.57 MB)
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8 Git Branch.mp4 (110.66 MB)
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9 Switching the Branches.mp4 (64.99 MB)
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1 YAML Crash Course.mp4 (106.9 MB)
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1 Introduction to Packaging the ML Models.mp4 (47.39 MB)
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10 Data Preprocessing part 2.mp4 (34.4 MB)
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11 sklearn pipeline.mp4 (103.09 MB)
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12 Training Pipeline.mp4 (83.35 MB)
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13 Prediction Pipeline.mp4 (60.65 MB)
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14 Fixes on Python Scripts.mp4 (36.31 MB)
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15 Add Python Path to MacOS.mp4 (30.5 MB)
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16 Perform Training and Predictions.mp4 (28.76 MB)
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17 Requirements txt file.mp4 (44.62 MB)
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18 Testing the New Virtual Environments.mp4 (35.48 MB)
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19 Create Python tests.mp4 (122.87 MB)
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2 Typical Experimentation with Dataset.mp4 (187.3 MB)
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20 Running Pytest.mp4 (61.98 MB)
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21 Create Manifest file.mp4 (42.45 MB)
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22 Create Version File.mp4 (20.53 MB)
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23 Create setup py.mp4 (86.53 MB)
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24 Packagiing the ML Model & testing.mp4 (136.7 MB)
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25 Summary.mp4 (48.29 MB)
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3 Model fit and generate Predictions.mp4 (20.93 MB)
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4 Challenges in Working inside the Jupyter Notebook.mp4 (134.88 MB)
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5 Understanding the Modular Programming.mp4 (123.45 MB)
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6 Creating Folder Hierarchy for ML Project.mp4 (138.86 MB)
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7 Create Config Module.mp4 (172.16 MB)
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8 Data Handling Module.mp4 (64.38 MB)
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9 Data Preprocessing part 1.mp4 (194.14 MB)
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1 Introduction to Mlflow.mp4 (85.43 MB)
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10 Setting Up MySql Database Locally.mp4 (57.81 MB)
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11 Log Model Metrics in MySql.mp4 (129.98 MB)
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12 Register the Model & Serve the Model.mp4 (114.17 MB)
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13 Summary.mp4 (10.7 MB)
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2 Getting System Ready with mlflow.mp4 (36.77 MB)
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3 Logging Functions of Mlflow Tracking.mp4 (82.61 MB)
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4 Basic Mlflow tutorial.mp4 (136.4 MB)
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5 Exploration of mlflow.mp4 (52.61 MB)
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6 Machine Learning Experiement on MLFlow.mp4 (147.48 MB)
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7 Create ML Model for Loan Prediction.mp4 (95.15 MB)
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8 MLFlow Project.mp4 (158.6 MB)
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9 MLFlow Models.mp4 (118.08 MB)
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1 Docker for Machine Learning.mp4 (40.29 MB)
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2 Introduction to Docker.mp4 (199.33 MB)
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3 Installation of Docker Desktop.mp4 (42.2 MB)
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4 Working with Docker.mp4 (136.14 MB)
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5 Running the Docker Container.mp4 (83.91 MB)
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6 Working with Dockerfile.mp4 (93.84 MB)
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7 Push the Docker Image to DockerHub.mp4 (23.16 MB)
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8 Dockerize the ML Model.mp4 (98.63 MB)
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9 Packaging the training code in Docker Environment & Summary.mp4 (70.89 MB)
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1 What is API, REST and REST API.mp4 (73 MB)
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2 How REST API Works.mp4 (103.1 MB)
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3 What is FastAPI.mp4 (49.78 MB)
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4 Crash course on FastAPI.mp4 (141.94 MB)
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5 Data Validation with Pydantic.mp4 (44.24 MB)
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6 Deploying the Machine Learning Model with FastAPI.mp4 (73.28 MB)
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1 Introduction to Streamit.mp4 (27.36 MB)
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2 Hands On Working with Streamlit.mp4 (125.42 MB)
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3 Building the ML Model with Streamlit.mp4 (337.92 MB)
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