Python — End-to-End Mastery

Learn Python from first principles to production: fundamentals, web development, APIs, data engineering, automation, testing, cloud deployment, and an introduction to machine learning — all through hands-on projects.

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Format: Self-paced & Instructor-led cohorts · Duration: 8–12 weeks · Certificate: Yukti Certified Python Engineer

Program Snapshot

  • • Python fundamentals to advanced patterns (typing, OOP, async)
  • • Web: FastAPI, Django, REST & GraphQL, authentication
  • • Data: Pandas, SQLAlchemy, ETL, Kafka, Snowflake integration
  • • Automation, testing, CI/CD, Docker, and cloud deployment
Projects: Web app, data pipeline, automation scripts, ML inference service — portfolio-ready.

Who this course is for

Engineers, data practitioners, analysts, and product teams who want a single, practical pathway to become productive with Python across software, data, and automation domains.

Outcome

Deployable apps, data pipelines, automated workflows, and a GitHub portfolio demonstrating end-to-end projects.

Prerequisites

No prior Python required; basic programming concepts helpful. Exercises progressively scale in complexity.

Delivery

Self-paced labs + optional instructor-led cohorts, project reviews, and mentorship hours.

Curriculum — Modules & Learning Path

A modular curriculum that covers practical Python usage across software engineering and data domains. Below is a recommended 10-week split — each week includes video lessons, hands-on exercises, and a mini-project.

Foundation & Core Python (Weeks 1–2)

  • Python syntax, data structures, functions, comprehensions
  • OOP, modules, packaging, virtual environments
  • Type hints, logging, exception handling, and best practices

Advanced Python & Patterns (Weeks 3)

  • Iterators, generators, decorators, context managers
  • Async IO, concurrency (async/await), multiprocessing basics
  • Design patterns and clean architecture

Web Development & APIs (Weeks 4–5)

  • FastAPI fundamentals, async endpoints, validation with Pydantic
  • Django overview, admin, and when to choose each framework
  • Authentication (JWT, OAuth2), CORS, rate-limiting

Data Engineering & ETL (Weeks 6–7)

  • Pandas, SQLAlchemy, data ingestion patterns
  • Batch & streaming (Kafka basics), Airflow orchestration
  • Integrations with Snowflake/Databricks and data quality checks

Automation & Scripting (Week 8)

  • CLI tools, scheduling, Selenium & headless browser testing
  • File processing, Excel automation, email integrations
  • Infrastructure automation examples with boto3 and Azure SDK

Testing, CI/CD & Observability (Week 9)

  • Unit testing (pytest), integration and contract testing
  • CI pipelines with GitHub Actions, Docker builds and image security
  • Logging, tracing (OpenTelemetry), metrics and alerting

Deployment & ML Intro (Week 10)

  • Containerization, Docker Compose, Helm basics, Kubernetes overview
  • Deploying FastAPI apps to AWS ECS / Azure App Service / GCP Cloud Run
  • Intro to ML model serving (MLflow, FastAPI inference), feature stores

Hands-on Labs & Capstone Projects

Every participant completes four signature projects producing deployable artifacts and a GitHub portfolio.

Web App — Task Manager + Auth

FastAPI backend, React frontend (optional), JWT auth, PostgreSQL, Docker deployment and CI/CD pipeline.

Data Pipeline — Ingest to Warehouse

Ingest sample datasets, transform with Pandas/SQL, orchestrate with Airflow, and push to Snowflake/SQLite for reporting.

Automation — Scraper & Reporting Bot

Build a robust web scraper, store results, schedule periodic runs, and send summarized reports via email/Slack.

ML Inference Service — Model as API

Train a small model, register with MLflow, serve via FastAPI, and integrate simple caching and batching strategies for inference.

Capstone: Deploy one project to the cloud, provide architecture docs, run a cost estimate, and present an executive summary.

Deliverables & Certification

Pricing & Delivery Options

Self-paced

US$199

All modules, labs, and templates — lifetime access to materials.

Cohort (Instructor-led)

Contact

8–12 week live cohort with mentorship, code reviews, and capstone feedback.

Enterprise

Custom Pricing

Private cohorts, team assessments, and tailored curriculum aligned to your tech stack.

Bulk discounts and career services add-ons available for cohort graduates.

Enroll or Request Brochure

Fill the form and we will email the brochure, course schedule, and cohort dates.