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AdvancedPython Programming8 weeks
Certificate IncludedCertificate EligibleUcanly certificate

Python Programming: Advanced

From developer to Python architect: CPython internals, performance engineering, distributed systems, and a multi agent AI platform.

Duration
8 weeks
Level
Advanced
Content
48 lessons
8 modules · 16 h 21 min
Certificate
Included
On completion
Access
Fee by email
Or take the free aptitude test

What you'll learn

Understand CPython internals, memory management, and the GIL well enough to defend scaling decisions
Profile Python services with cProfile and py spy, and speed up hot paths with Cython or Rust bindings
Design distributed systems with stateless scaling, database sharding, and circuit breaker resilience patterns
Build event driven microservices with Kafka, gRPC, sagas, and idempotency guarantees
Apply property based testing, load testing, and OpenTelemetry based observability
Take a slow Python service to production speed with a load tested performance engineering campaign
Build production RAG architectures and multi agent systems with LangGraph and evaluation pipelines
Publish real Python packages and lead code review and technical standards for a team
Architect and deploy a distributed, event driven, multi agent AI platform on Kubernetes with full observability

Who this course is for

  • Intermediate level graduates ready to architect production grade Python systems
  • Working Python developers preparing for senior engineer, backend architect, or platform engineer roles
  • Engineers who want deep, hands on experience with performance engineering and distributed AI systems
  • Anyone targeting senior level system design interviews and AI engineer career tracks

Skills you'll gain

Advanced PythonPython ArchitectSenior Python EngineerCPython InternalsGILPerformance EngineeringProfilingCythonRust BindingsSystem DesignDistributed SystemsMicroservicesKafkagRPCEvent Driven ArchitectureSaga PatternIdempotencyProperty Based TestingLoad TestingOpenTelemetryObservabilityKubernetesCI CDProduction RAGMulti Agent SystemsLangGraphLLMOpsAI Engineer

This course includes

Live mentor led Ucanly sessions plus self paced recorded content
A minor project taking a slow service to production speed with load tested proof by week six
A major project architecting a distributed multi agent AI platform by week twelve
Ucanly mock system design and senior technical interviews and senior portfolio review
Resume and profile audit with placement guidance
Lifetime access to course materials and future updates
Advanced Certificate of Completion from Ucanly

Course content

8 modules · 48 lessons · 16 h 21 min

CPython internals and performance engineering, system design and distributed architecture, event driven systems and microservices, advanced testing reliability and observability, packaging supply chain and engineering leadership, a minor project on performance engineering, advanced AI engineering and LLMOps, and a major project architecting a distributed AI platform.

Requirements

  • Completion of the Intermediate level, or hands on experience shipping tested FastAPI services with PostgreSQL, async, and Docker
  • Comfort with Python internals, distributed systems concepts, and cloud deployment
  • A computer capable of running Kubernetes and distributed system tooling

About this course

This is the final stage of the Ucanly Python Programming track, where developers become Python architects. Built for practitioners with hands on experience shipping tested FastAPI services with PostgreSQL, async, and Docker, this program goes deep into CPython internals, memory management, the GIL, and native extensions with Cython and Rust bindings. You will design distributed systems with Kafka and gRPC, event driven microservices with sagas and idempotency, and apply property based testing, load testing, and OpenTelemetry observability. In your week six minor project, you will take a genuinely slow Python service to production speed through profiling, algorithmic fixes, an async rewrite, and native extensions, proven under real load. You will also build packages, lead code review and technical standards, and move into advanced AI engineering: production RAG, multi agent systems with LangGraph, evaluation pipelines, and guardrails. You will graduate having architected a distributed, event driven Python platform in your week twelve major project, with microservices, a multi agent AI layer, full observability, evaluation and guardrails, Kubernetes deployment, and a defended architecture document.

Earn a Ucanly certificate

Complete this course to earn a Ucanly certificate with its own page and QR code. Save it as a PDF, share its link, or add it to the certifications on your LinkedIn profile.

Certificate IncludedCertificate EligibleUcanly certificate

Frequently asked questions

It is recommended, but hands on experience shipping tested FastAPI services with PostgreSQL, async, and Docker is sufficient to start.

Yes, your minor project takes a genuinely slow Python service to production speed through profiling, algorithmic fixes, an async rewrite, and native extensions, with load tested proof of the improvement.

Production RAG architectures, multi agent systems with LangGraph, evaluation pipelines, guardrails, and cost and latency engineering.

A distributed, event driven Python platform with microservices, a multi agent AI layer, full observability, evaluation and guardrails, Kubernetes deployment, and a defended architecture document.