Evolution of Integration - Solving Enterprise Challenges
Explore enterprise integration evolution, patterns, and solutions. Learn about API management, cloud integration, scalability, event-driven messaging, and integrating ML and low-code development for business success.
Exploring the BTP Service Metadata with JavaScript - Part 3
Explore BTP Service Metadata using JavaScript, covering topics like functional programming, lambda functions, and data manipulation techniques for efficient metadata analysis and management.
Python for DevOps Master Class 2022 - CI-CD, Github Actions, Containers and Microservices
Master DevOps with Python: CI/CD, Github Actions, containers, microservices. Hands-on projects using AWS, FastAPI, and more. Enhance your skills in automation, deployment, and cloud computing.
Build Real-World Python Microservices with Continuous Delivery From Zero
Learn to build Python microservices with continuous delivery, covering project setup, testing, CLI creation, FastAPI, containerization, and AWS deployment for real-world applications.
Containerized Microservice Continuous Delivery to AWS App Runner with FastAPI
Deploy containerized microservices using AWS Cloud9, ECR, App Runner, and FastAPI. Learn continuous delivery architecture, build and test APIs, set up ECR, and implement automated deployment with AWS CodeBuild.
MLOps Platforms From Zero - Databricks, MLFlow-MLRun-SKLearn
Comprehensive guide to building MLOps platforms using Databricks, AutoML, SKLearn, and AWS. Covers end-to-end process from project setup to model deployment, including CI/CD, experimentation, and containerization.
Learn to Containerize Algorithms and Deploy to AWS with App Runner
Master containerization and AWS deployment of algorithms, from greedy solutions to microservices. Hands-on with FastAPI, GitHub Actions, AWS App Runner, and ECR for efficient cloud-based development and deployment.
AWS Storage Solutions 2022 - EBS, S3, EFS, Glacier
Comprehensive overview of AWS storage solutions including EBS, S3, EFS, and Glacier. Covers theory and practical demonstrations for effective use of these services.
K-Means Clustering - Theory, Algorithm, Implementation, Scaling
Comprehensive exploration of k-means clustering, covering theory, implementation, and scaling techniques. Includes hands-on demonstrations and practical applications using cloud computing resources.
Data Science Your First Day
Learn essential data science skills: GitHub, Colab, data analysis, visualization, and CI/CD. Hands-on practice with real-world datasets and tools for efficient workflow and collaboration.
Learn AWS CloudShell
Master AWS CloudShell: Explore Bash, ZSH, PowerShell, S3, Lambda, Python, IPython, Pip, Boto3, DynamoDB, and Cloud9 for efficient AWS ecosystem management and development.
Pytest Master Class
Master Python testing with Pytest, covering DevOps, CI/CD, cloud environments, and advanced techniques. Learn to build and test robust applications using Flask, Click, and various testing strategies.
Learn Python in One Hour
Comprehensive Python introduction covering variables, data types, functions, and advanced concepts with hands-on coding in Google Colab. Ideal for beginners seeking quick proficiency.
Tech Talk - Top Tuning Tips for Spark 3.0 and Delta Lake on Databricks
Learn top tuning tips for Apache Spark 3.0 and Delta Lake on Databricks. Discover optimal join strategies, machine sizing, merge operation speedups, and job simplification techniques for enhanced big data processing.
Decrypting Web 3.0
Explore the fundamentals of Web 3.0, including mining, cryptocurrencies, data sharing, smart contracts, tokenomics, and the metaverse in this comprehensive breakdown with industry expert Pareen Lathia.
Face Matching Application Using Deep Learning - End to End Implementation
Develop a Bollywood celebrity face matching application using deep learning, covering data collection, architecture design, environment setup, implementation stages, and web app creation.
Implementation of Perceptron in Deep Learning Using Python from Scratch
Comprehensive guide to implementing perceptrons in Python, covering theory and practical coding from scratch for deep learning enthusiasts and AI developers.
Implementation of End to End Kaggle Machine Learning Project With Deployment
Comprehensive guide to implementing a machine learning project for car price prediction, covering data exploration, model fitting, and deployment on Heroku.
Crash Course on Naive Bayes Classification
Comprehensive introduction to Naive Bayes classification, covering theory and practical applications through R coding examples, from probability basics to real-world predictive models.
Finding the Tallest Tree - Comparing Tree-Based Models
Explore various tree-based models in R, comparing decision trees, random forests, and boosted trees. Learn about different packages, their implementation, and evaluate models based on user-friendliness, accuracy, and speed.
Ace the Data Science Interview with Nick Singh
Learn strategies to excel in data science interviews, from landing interviews to acing technical questions and case studies. Gain insights on portfolio building, cold-emailing, and mastering various interview components.