Curriculum
- 3 Sections
- 71 Lessons
- 10 Weeks
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- Gen AI & Machine Learning Course39
- 1.1What is Machine Learning?
- 1.2M.L overview , Types of ML. & its use cases , Exploring ML Problems – Part 1
- 1.3M.L overview , Types of ML. & its use cases , Exploring ML Problems – Part 2
- 1.4DAY 3 – Machine Learning Life Cycle
- 1.5How to download and install Anaconda
- 1.6Python – Complete Guide Part 1
- 1.7Day 4 – Linear Regression- Part 1
- 1.8Day 5 – Exploratory Data Analytics
- 1.9Understanding Slope, Intercept formula with sample data , & Residuals
- 1.10House Price Prediction Demo Part -1
- 1.11Linear Regression Model Evaluation Metrics
- 1.12Linear Regression Assumption
- 1.13Linear Regression: Complete Guide with Housing Price Prediction
- 1.14Download Housing Price Prediction Case Study Assignment
- 1.15Recap of Housing Price Prediction
- 1.16Case Study 2 Salary Prediction
- 1.17Logistic Regression Part – 1
- 1.18Logistic Regression – Complete Guide
- 1.19Logistic Regression Quiz
- 1.20Linear Regression Interview Q&A
- 1.21Logistic Regression Implementation using churn prediction case study
- 1.22Logistic Regression Math Foundation
- 1.23Logistic Regression Implementation – Model evaluation metrics , Class Imbalance , SMOTE
- 1.24Recap of LogLoss & Cutoff (Threshold)
- 1.25Logistic Regression Model Output Interpretation
- 1.26Feature Selection
- 1.27Explainability (XAI)
- 1.28Confusion Matrix, Precision , Recall, when to use which metrics
- 1.29ROC Auc Metric
- 1.30Hyperparameter Tuning, Diff between parameter and hyperparameter
- 1.31Hyperparameter Tuning Part 2
- 1.32Ensemble Learing – RandomForest, XGBoost, Light Gradient Boostig
- 1.33Neural Network
- 1.34MCQ , Vanishing and Exploding Gradient Problems and its fixes
- 1.35Introduction to Gen AI
- 1.36Python Day 1
- 1.37Python Day 2
- 1.38Python Day 3 – Pandas Tutorial
- 1.39Python Day 4 – OOPS Concepts
- Generative AI16
- 2.1Generative AI Tutorial
- 2.2Prompting Tutorial
- 2.3Advanced Prompting Tutorial
- 2.4Prompt Engineering Quiz 1
- 2.5Prompt Engineering Quiz 2
- 2.6Transformer Quiz
- 2.7Langchain llamaindex Tutorial
- 2.8Langchain lcel Tutorial
- 2.9LLm Apis Sdks Tutorial
- 2.10Agentic Ai Tutorial
- 2.11Auto Gen Tutorial
- 2.12RAG Vs Agentic RAG
- 2.13Agentic AI Quiz
- 2.14Real-time Health Care Triage Project
- 2.15Generative AI Tutorial
- 2.16Introduction to Gen AI
- MLOps16
- 3.1Introduction to MLOPS
- 3.2Linux Commands Part 2
- 3.3VI Editor
- 3.4Linux Commands Part 1
- 3.5Version Control System
- 3.6Recap of Git & Github
- 3.7How to a Create S3 Bucket using Aws Cli, Upload the data in S3 Bucket and Read the Data in S3 Bucket
- 3.8MLOPS iris project part 1 – Code walkthrough
- 3.9How to upload the data into S3, Create Ec2 Instances , Build & Test Docker image in EC2
- 3.10How to Create EKS Cluster on AWS
- 3.11How to Create CodePipeline on AWS
- 3.12Creation of End to end CI/CD Pipeline in AWS EC2 for iris model
- 3.13How to install Mlflow on Aws, How to deploy model on Sagemaker
- 3.14Deployment of ML Model in Sagemaker
- 3.15Introduction to Generative AI (LLMs)
- 3.16How to Deploy Docker on GCP using Cloud Shell Editor
Introduction to Generative AI (LLMs)
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