diff --git a/airflow-docker/README.md b/airflow-docker/README.md
index 5222126..9c0084f 100644
--- a/airflow-docker/README.md
+++ b/airflow-docker/README.md
@@ -4,7 +4,8 @@
 
 ## 🎯 Цель проекта
 
-Создать максимально простую среду для изучения Apache Airflow, где все переменные окружения захардкожены для удобства студентов.
+Создать максимально простую среду для изучения Apache Airflow.
+Для удобства все переменные окружения захардкожены в docker скрипты. На проде так делать не надо :)
 
 ## 📋 Предварительные требования
 
@@ -70,7 +71,7 @@ graph TB
 ```
 airflow-docker/
 ├── docker-compose.yml          # Конфигурация Docker
-├── .env                        # Переменные окружения (создается автоматически)
+├── .env                        # Файл не используется: переменные заданы в docker-compose.yml
 ├── dags/                       # DAG файлы для обучения
 │   ├── hello_world_dag.py      # Базовый пример
 │   ├── sql_basic_dag.py       # Работа с SQL
@@ -124,37 +125,23 @@ airflow-docker/
 
 ### Переменные окружения
 
-Все переменные захардкожены для простоты:
+В этом проекте мы не используем `.env`: все значения заданы напрямую в `docker-compose.yml`.
 
-```env
-# Airflow Configuration
-AIRFLOW_USER=admin
-AIRFLOW_PASSWORD=admin
+Сервисы Airflow получают:
+- `POSTGRES_TRAINING_HOST=postgres-training`
+- `POSTGRES_TRAINING_PORT=5432`
+- `POSTGRES_TRAINING_DB=training`
+- `POSTGRES_TRAINING_USER=student`
+- `POSTGRES_TRAINING_PASSWORD=student`
+- `AIRFLOW_CONN_POSTGRES_TRAINING=postgresql://student:student@postgres-training:5432/training`
 
-# PostgreSQL (Airflow metadata)
-PG_USER=airflow
-PG_PASSWORD=airflow
-PG_DB=airflow
+`docker-compose run --rm airflow-init` запускает `airflow connections add postgres_training`, поэтому соединение доступно сразу после инициализации. Проверить наличие можно через:
 
-# PostgreSQL для training exercises
-TRAINING_PG_USER=student
-TRAINING_PG_PASSWORD=student
-TRAINING_PG_DB=training
-TRAINING_PG_HOST=postgres-training
-TRAINING_PG_PORT=5432
-
-# Connection ID for PostgreSQL training database
-POSTGRES_CONN_ID=postgres_training
-
-# CSV Pipeline
-CSV_DIR=/opt/airflow/data
-CSV_ROWS=1000
-
-# Airflow Configuration
-_AIRFLOW_DB_UPGRADE=true
-_AIRFLOW_WWW_USER_CREATE=true
+```bash
+docker-compose exec airflow-webserver airflow connections get postgres_training
 ```
 
+
 ### Порты
 
 - `8080` - Airflow Webserver
diff --git a/airflow-docker/dag-specifications.md b/airflow-docker/dag-specifications.md
index 0f39b10..abb3342 100644
--- a/airflow-docker/dag-specifications.md
+++ b/airflow-docker/dag-specifications.md
@@ -42,6 +42,8 @@ start_task → date_task → end_task
 - Execute SQL queries
 - Use PostgresOperator
 
+**Connection Hint:** `docker-compose run --rm airflow-init` automatically provisions the `postgres_training` connection via `airflow connections add`, so no manual setup is required. You can verify it with `docker-compose exec airflow-webserver airflow connections get postgres_training`.
+
 **Tasks:**
 - `create_table`: Create simple table (users, products)
 - `insert_data`: Insert sample records
@@ -242,4 +244,4 @@ CREATE TABLE enrollments (
 - Uses conditional branching
 - Implements proper error handling
 - Creates reusable components
-- Optimizes workflow performance
\ No newline at end of file
+- Optimizes workflow performance
diff --git a/airflow-docker/docker-compose.yml b/airflow-docker/docker-compose.yml
index 7f88de6..b41c79c 100644
--- a/airflow-docker/docker-compose.yml
+++ b/airflow-docker/docker-compose.yml
@@ -1,3 +1,15 @@
+x-airflow-env: &airflow-default-env
+  AIRFLOW__CORE__LOAD_EXAMPLES: "False"
+  AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres-metadata:5432/airflow
+  AIRFLOW__CORE__EXECUTOR: LocalExecutor
+  AIRFLOW__WEBSERVER__SECRET_KEY: replace-me-with-random-string
+  POSTGRES_TRAINING_HOST: postgres-training
+  POSTGRES_TRAINING_PORT: "5432"
+  POSTGRES_TRAINING_DB: training
+  POSTGRES_TRAINING_USER: student
+  POSTGRES_TRAINING_PASSWORD: student
+  AIRFLOW_CONN_POSTGRES_TRAINING: postgresql://student:student@postgres-training:5432/training
+
 services:
   # PostgreSQL for Airflow metadata
   postgres-metadata:
@@ -39,10 +51,7 @@ services:
     build: .
     image: airflow-optimized:2.9.2
     environment:
-      AIRFLOW__CORE__LOAD_EXAMPLES: "False"
-      AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres-metadata:5432/airflow
-      AIRFLOW__CORE__EXECUTOR: LocalExecutor
-      AIRFLOW__WEBSERVER__SECRET_KEY: replace-me-with-random-string
+      <<: *airflow-default-env
     command: >
       bash -c "
         airflow webserver
@@ -65,10 +74,7 @@ services:
     build: .
     # image: airflow-optimized:2.9.2
     environment:
-      AIRFLOW__CORE__LOAD_EXAMPLES: "False"
-      AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres-metadata:5432/airflow
-      AIRFLOW__CORE__EXECUTOR: LocalExecutor
-      AIRFLOW__WEBSERVER__SECRET_KEY: replace-me-with-random-string
+      <<: *airflow-default-env
     command: >
       bash -c "
         airflow scheduler
@@ -90,9 +96,7 @@ services:
     user: "0:0"
     # image: airflow-optimized:2.9.2
     environment:
-      AIRFLOW__CORE__LOAD_EXAMPLES: "False"
-      AIRFLOW__DATABASE__SQL_ALCHEMY_CONN: postgresql+psycopg2://airflow:airflow@postgres-metadata:5432/airflow
-      AIRFLOW__WEBSERVER__SECRET_KEY: replace-me-with-random-string
+      <<: *airflow-default-env
     volumes:
       - ./dags:/opt/airflow/dags
       - ./data:/opt/airflow/data
@@ -103,7 +107,9 @@ services:
         chown -R airflow:0 /opt/airflow/data || true &&
         umask 000 &&
         su -s /bin/bash airflow -c 'airflow db migrate' &&
-        su -s /bin/bash airflow -c 'airflow users create --username admin --password admin --firstname Admin --lastname User --role Admin --email admin@example.org'
+        su -s /bin/bash airflow -c 'airflow users create --username admin --password admin --firstname Admin --lastname User --role Admin --email admin@example.org' &&
+        su -s /bin/bash airflow -c 'airflow connections delete postgres_training || true' &&
+        su -s /bin/bash airflow -c \"airflow connections add 'postgres_training' --conn-uri \\\"$${AIRFLOW_CONN_POSTGRES_TRAINING}\\\" --conn-description 'Training exercises database'\"
       "
     depends_on:
       postgres-metadata: