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Nilesh
- Rate R255
- Response 24h
R255/h
Contact
1st lesson free
- Computer Programming
- Python
- Programming Languages
- JavaScript
- PostgreSQL
Learn to Build Real AI Agents with Python & FastAPI — Practical Mentoring from an AI Software Engineer
- Computer Programming
- Python
- Programming Languages
- JavaScript
- PostgreSQL
Lesson location
About Nilesh
I’m an AI Software Engineer with more than four years of experience building production applications across AI, SaaS, hospitality, fintech and edtech.
I help developers move beyond tutorials and build reliable, portfolio-ready AI systems using Python, FastAPI, OpenAI, Anthropic, databases and modern agent architectures.
In my professional work, I have built AI-agent workflows, automated data pipelines, Slack reporting systems, multi-tenant backends and integrations across complex external platforms. I recently improved the performance of a production AI-agent system by approximately 50%.
I can help you with:
• Building your first production AI agent
• Python and FastAPI backend development
• OpenAI and Anthropic API integration
• RAG, embeddings and semantic search
• Tool calling and agent workflow design
• Data ingestion and processing pipelines
• Debugging slow or unreliable AI responses
• AI evaluation and observability
• Code and architecture reviews
• Turning an idea into a deployable portfolio project
My mentoring is practical and project-based. Instead of only explaining concepts, we will design, build, debug and improve a real system together.
A typical monthly mentorship includes one weekly video call, architecture and code reviews, a structured learning plan and asynchronous support between sessions.
This is suitable for developers, technical founders and professionals who want to build real AI products—not merely complete another tutorial.
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About the lesson
- All levels
- English
Languages in which the lesson is available :
English
Learn how to build practical, production-ready AI applications using Python, FastAPI, OpenAI, Anthropic Claude, databases and modern AI-agent workflows.
These classes are project-based rather than purely theoretical. Depending on your experience and goals, I can help you learn:
• Python and FastAPI for AI backends
• OpenAI and Anthropic API integration
• AI agents, tool calling and workflow design
• RAG, embeddings and semantic search
• Data pipelines for AI applications
• PostgreSQL, APIs and backend architecture
• AI evaluation, debugging and performance improvement
• Automated AI reports and Slack integrations
• Deployment of a complete portfolio project
• Code reviews and personalized technical guidance
Beginners can start with Python and backend fundamentals, while developers can work directly on advanced AI-agent projects.
Each lesson is adapted to your current level. We will build, debug and improve real applications together, so you understand not only how the code works but also how production AI systems are designed.
By the end of the learning program, you can have a deployable AI project for your portfolio and the practical skills needed to build your own AI-powered applications.
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Rates
Rate
- R255
Package rates
- 5h: R1275
- 10h: R2550
free lesson
The free first lesson with Nilesh allows you to get to know the tutor and discuss your needs and expectations.
- 1h
online
- R255/h
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