To deploy via the console, navigate to the AWS Lambda service, click 'Create function', and choose your runtime. You can then upload your code package (a .zip file containing your function code and its dependencies) or write/paste your code directly into the inline editor. The console also provides a visual interface for setting up event triggers (like API Gateway, S3 events, or CloudWatch events), configuring memory and timeout settings, managing environment variables, and defining IAM roles for your function's execution permissions.

Before using the CLI, ensure it's installed and configured with your AWS credentials. The primary command for creating a function is aws lambda create-function, which requires parameters like function name, runtime, role, and the code location (e.g., a S3 bucket URI or a local ZIP file path). To update the code of an existing function, you'd use aws lambda update-function-code. The CLI also supports updating function configuration, managing aliases, and invoking functions.

AWS provides SDKs for numerous programming languages. For example, using the AWS SDK for Python (Boto3), you can write Python scripts to automate Lambda deployments. This involves using client objects to call API actions like create_function or update_function_code. You'll typically need to package your code and dependencies into a ZIP file and upload it to an S3 bucket, then reference that S3 object in your SDK call. This approach is highly customizable and can be integrated into complex workflows.