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Data engineering & AI · Corporate training

Python with AI capabilities

Connect Python applications with AI capabilities through practical integration, evaluation, and data handling.

  • Intermediate
  • Live online and in person
  • Duration tailored to your team
Discuss this trainingExplore sample curriculum ↓

Sample curriculum

What your team can learn.

This outline is a starting point. Modules, exercises, and depth are adapted to your team's experience and project requirements.

01AI application foundations
  • Defining a useful task and success criteria
  • Model inputs, outputs, and API boundaries
  • Environment setup and credentials
02Python integration
  • Preparing input data and calling model APIs
  • Prompts and structured responses
  • Timeouts, retries, and error handling
03Quality & responsible data handling
  • Evaluation with representative examples
  • Checking outputs and handling uncertainty
  • Sensitive data, logging, and usage controls
04Practical application
  • Connecting AI output to an application workflow
  • Human review and fallback behavior
  • Testing, documentation, and demonstration

Hands-on capstone

Put the learning into practice.

Build an AI-enabled Python utility, evaluate it against sample tasks, and document its failure cases.

How the training works

Live demonstrations, guided exercises, pair work, and project reviews connect the concepts to practical implementation.

We agree on your learning goals, prerequisites, group size, delivery format, and schedule before shaping the final curriculum and proposal.

Your trainer

I'm Ragav Kumar V, a corporate trainer and mentor with 10+ years of training experience since 2016, 100+ batches delivered, and 3,000+ professionals trained across full-stack development, data engineering, and Cloud & DevOps.

Continue your learning path.