Ashish

5 (2 reviews)

Rate £4
Response 2h
Students
Number of students Ashish has accompanied since arriving at Superprof
3
Number of students Ashish has accompanied since arriving at Superprof

5 (2 reviews)

£4/hr

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Artificial Intelligence

Python-Powered AI Agents Crash Course: Tool-Calling, RAG, Multi-Agents & Cloud Deployment – Hands-On with Industry Expert .

Artificial Intelligence

Lesson location

- Online

About Ashish

Hi, I'm Ashish Kumar, a seasoned IT professional with over 20 years of hands-on experience in technical architecture, solution design, and delivering large-scale enterprise software systems.
My expertise spans full-stack development (Python, .NET/.NET Core, Django, React, REST APIs, Microservices), cloud-native architecture (serverless functions, API gateways, storage services), DevOps practices (CI/CD pipelines, Infrastructure as Code), and high-performance, secure system design across complex domains.
As a Gen AI expert, I specialize in real-world implementation of Generative AI and large language models. I hold certifications in Azure AI Fundamentals, Azure AI Engineer Associate, and advanced GenAI training. I have deep practical experience integrating OpenAI models, cognitive services, AWS AI/ML tools, LLMs, prompt engineering, retrieval-augmented generation (RAG), agentic workflows, tool-calling, memory systems, guardrails, and GenAI-driven automation to enhance productivity, code generation, testing, documentation, and product development lifecycles.
In my Superprof sessions, I bring this extensive production-level knowledge into personalized, project-based teaching. My approach is straightforward and practical: I guide you step-by-step to build and deploy real, functional AI agents quickly and confidently, using industry best practices and live coding. Whether you're a developer exploring agentic AI, a professional looking to master Generative AI tools, or an enthusiast wanting hands-on skills, I'll support you with debugging help, tailored guidance, and insights from scaling AI solutions in enterprise environments.

About the lesson

My teaching methodology is 100% hands-on and project-driven: we skip heavy theory and jump straight into building real, deployable AI agents together. In this crash course, you'll create a smart nutrition assistant from scratch using Python and OpenAI’s Agents SDK, AgentKit, and related tools.
We cover:

Building agents with tool-calling, streaming, and tracing
Integrating memory and Retrieval-Augmented Generation (RAG) for contextual intelligence
Applying prompt engineering best practices and safety guardrails
Visual no-code development with AgentBuilder, ChatKit, and Evals
Multi-agent systems with task delegation
Secure cloud deployment with authentication

Sessions are interactive, personalized to your pace and goals (beginner to intermediate Python users), with live coding, debugging guidance, and industry tips from my 19+ years in AI implementations. By the end, you'll have a fully functional agent you can showcase or expand—empowering you to build intelligent AI systems confidently and quickly. Let's turn concepts into working products!

Recommendations

Recommendations come from relatives, friends and acquaintances of the teacher

Rituraj

Ashish is a thorough professional and gets deep into the subject.
Read more

Rituraj
Ashish is a thorough professional and gets deep into the subject.
Amninder

Ashish is in software industry from last 20 years and expert on GenAI side. Recommend him for GenAI sessions.
Read more

Amninder
Ashish is in software industry from last 20 years and expert on GenAI side. Recommend him for GenAI sessions.
View more recommendations

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