Datascience→Airflow: Syllabus →ArgoCD: Advanced Usage →ArgoCD: Application Management →ArgoCD: Fundamentals →ArgoCD: Hands-on Projects →ArgoCD: Introduction to GitOps →ArgoCD: Monitoring, Logging, and Troubleshooting →ArgoCD: Security and Authentication →Atlas: Syllabus →Cassandra: Syllabus →ChromaDB: Syllabus →Data Analysis: Syllabus →Data Engineering: Syllabus →DBT: Syllabus →Deep Learning: Syllabus →Delta Lake: Syllabus →Grafana: Syllabus →GX: Syllabus →Iceberg: Syllabus →Jenkins: Administration and Security →Jenkins: Advanced Concepts →Jenkins: Advanced Techniques →Jenkins: Fundamentals →Jenkins: Introduction →Jenkins: Monitoring, Logging, and Maintenance →Jenkins: Pipelines and Jobs →Jenkins: Practical Implementation →K3S: Core Kubernetes Concepts →K3S: Deploying Applications →K3S: GitOps & CI/CD →K3S: Hands-on Projects →K3S: High Availability & Scaling →K3S: Implement Security Best Practices →K3S: Introduction to Kubernetes →K3S: Monitoring & Logging →K3S: Networking and Service Discovery →K3S: Serverless & Edge Computing →K3S: Storage Management →Kafka - Syllabus →Keycloak: Syllabus →LLMs: Syllabus →Milvus: Syllabus →Minio: Syllabus →ML Preojects: Sentiment Analysis With NLP →ML Projects: Customer Churn Prediction →ML Projects: Image Classification With CNNs →ML: Convolutional Neural Networks (CNNs) for Image Processing →ML: Data Preprocessing and Feature Engineering →ML: Ethical AI and Responsible Machine Learning →ML: Hands-on Projects →ML: Introduction to Machine Learning →ML: Model Deployment and MLOps →ML: Model Optimization and Hyperparameter Tuning →ML: Natural Language Processing (NLP) and Transformers →ML: Neural Networks and Deep Learning →ML: Reinforcement Learning →ML: Supervised Learning - Classification Models →ML: Supervised Learning - Regression Models →ML: Syllabus →ML: Unsupervised Learning →Module 12: Time Series Forecasting →MongoDB: Syllabus →Nessie: Syllabus →Nginx: Advanced Configuration →Nginx: Advanced Techniques →Nginx: Core Concepts and Configuration →Nginx: Hands-on Projects →Nginx: Introduction →Nginx: Kubernetes Environments →Nginx: Reverse Proxy and Load Balancing →Nginx: Troubleshooting and Maintenance →OpenTelemetry: Syllabus →Pandas: Data Cleaning and Preprocessing →Pandas: Data Transformation and Manipulation →Pandas: Data Visualization →Pandas: Hands-on Projects →Pandas: Introduction →Pandas: Performance Optimization →Pandas: Syllabus →Pandas: Time Series Analysis →Pandas: Working With Data Structures →PL/PgSQL: Syllabus →Podman: Advanced Concepts →Podman: Building & Managing Container Images →Podman: Fundamentals →Podman: Hands-on Projects →Podman: Introduction →Podman: Kubernetes Integration →Podman: Security Best Practices →PostgeSQL: Introduction →PostgreSQL: Backup, Recovery, and Replication in PostgreSQL →PostgreSQL: Data Types and Table Management →PostgreSQL: Hands-on Projects →PostgreSQL: Performance Optimization and Indexing →PostgreSQL: Querying and Data Manipulation →PostgreSQL: Security and User Management →PostgreSQL: Stored Procedures, Functions, and Triggers →PostgreSQL: Syllabus →PostgreSQL: Transactions and Concurrency Control →Promotheus: Syllabus →PSQL: Syllabus →Sentiment Analysis With NLP →Spark: Syllabus →Toward Data Science →Trino: Syllabus →