Muhammad Zain Attiq Python, Generative AI, Agentic AI, Backend, Cloud
5 Reviews

✨ Offers 1st Class for FREE
Muhammad Zain Attiq, A CKAD-certified Agentic AI Tutor and an Engineer with experience building 100+ AI Applications across the domains.
Current Section Leader @ Stanford CIP
Expert Tutor in Agentic AI, Python, ChatBot Development, AI Agents, RAG, LangChain, LangGraph, CrewAI, OpenAI Agents SDK, MCP and N8N. I can also teach you Backend Development, Database administration, DevOps, Docker, and Kubernetes. I can help you with:

Programming Languages
Python | TypeScript | JavaScript

Backend
FastAPI | Flask | Node.js | PostgreSQL | MySQL | MongoDB | Neo4j | Pinecone | Qdrant | FAISS

Agentic AI
AI Agents | Chatbots | LLMs | RAG | LangChain | LangGraph | CrewAI | OpenAI Agents SDK | MCP | n8n | Zapier | Make.com | Vector Databases | Graph Databases

Cloud & DevOps
Kubernetes | Docker | Rancher | AWS | Google Cloud | Azure

Machine Learning
Scikit-learn | Pandas | NumPy | Matplotlib | Seaborn | Plotly | NLTK

Deep Learning
TensorFlow | Keras | PyTorch

Version Control & CI/CD
Git | GitHub | CI/CD Pipelines

Lessons I Offer:

🐍 Python Programming (Beginner → Advanced):
Total Classes: 15-25 classes
Class Duration: 60–90 minutes
Outcome: You’ll confidently write Python programs and build a strong base for backend, AI, and automation.

⚙️ Backend Development with Python & JavaScript
Technologies: FastAPI, Flask, Node.js, REST APIs, Databases, Auth
Total Classes: 10–16
Class Duration: 60–90 minutes
Outcome: Build production-ready APIs used in real applications.

🤖 Agentic AI & LLM Development (Beginner → Advanced)
Technologies: LLMs, Agents, Tools, Assistants, LangChain, LangGraph, CrewAI, OpenAI Agents SDK, RAG, Vector DBs, MCP
Total Classes: 15–30
Class Duration: 60-90 minutes
Outcome: Design and deploy intelligent AI agents that think, plan, and act.

💬 Chatbot Development (Rule-Based → AI-Powered)
Technologies: LLMs, LangChain, LangGraph, Pinecone, FAISS, Qdrant, Streamlit, Chainlit
Total Classes: 10-20
Class Duration: 60-90 minutes
Outcome: Build smart, scalable chatbots for business, support, and automation.

☁️ Cloud, Docker & Kubernetes

Technologies: Docker, Kubernetes, AWS, Azure, GCP
Total Classes: 10-20
Class Duration: 60-90 minutes
Outcome: Deploy and manage applications like a professional engineer.

Subjects

  • Python Beginner-Expert

  • Docker Beginner-Expert

  • Artificial Intelligence Beginner-Expert

  • FastAPI (Python) Beginner-Expert

  • App deployment Beginner-Expert

  • Backend Development Beginner-Expert

  • OpenAI Beginner-Expert

  • Chatbot Development Beginner-Expert

  • Python for Data science, Machine Learning and Artificial Intelligence Beginner-Expert

  • LangChain Beginner-Expert

  • RAG (Retrieval-Augmented Generation) Beginner-Expert

  • AI agents Beginner-Expert

  • LangGraph Beginner-Expert

  • Agentic AI Beginner-Expert

  • OpenAI Agents SDK Beginner-Expert

  • Retrieval Augmented Generation Beginner-Expert

  • CrewAI Beginner-Expert

  • Claude Beginner-Expert

  • Vibe coding Beginner-Expert

  • Claude Code Beginner-Expert

Experience

  • AI Product Manager (Jul, 2025–Present) at Freelancing
    AI Product Manager & Full Stack Agentic AI Engineer
    AI Product Manager & Full Stack Agentic AI Engineer
    FreelanceFreelance
    Jun 2025 - Present · 7 mosJun 2025 to Present · 7 mos
    RemoteRemote
    Managing, Building, Shipping, and Maintaining End-to-End Agentic AI Systems from Idea to Production
  • AI and Backend Engineer (Jan, 2025–Present) at Techloset Solutions
    Currently working on one of the world’s largest AI platforms in the marketing domain.

    Expert in backend development with FastAPI, Flask, and Node.js – ideal for teaching real-world web app and API development.

    Skilled in cloud infrastructure using AWS (Lambda, EC2, ECS, RDS, S3, SNS), perfect for guiding students and professionals in DevOps and deployment.

    Specialized in designing AI Agents and Chatbots using LangChain, LangGraph, OpenAI Assistants API, and Response API, with hands-on experience in LLMOps and AgentOps.

    Experienced in using n8n for automation – can assist students with workflow automation projects.

    Offers help with performance optimization, API scalability, SQL database modeling, and structured prompt engineering.

    Actively collaborates with frontend teams – great for full-stack mentorship and project guidance.
  • AI Trainer (Nov, 2024–Present) at PIAIC Faisalabad
    Teaching Python and modern backend development to learners at all levels.

    Delivering structured classes on Agentic AI using LangChain, LangGraph, CrewAI, and OpenAI Agents SDK.

    Helping students build hands-on projects such as RAG-based systems, Chatbots, and custom AI agents.

    Maintains GitHub repositories with ready-to-use templates, notes, and mini-projects for practice.

    Provides 1-on-1 mentorship for job interview preparation, resume projects, and real-world deployments.
  • Tutor (Sep, 2024–Present) at Teacheron
    Guided 1-on-1 mentoring sessions in Generative AI, Python, and Machine Learning, tailoring each session to meet students’ career goals and academic levels.

    Helped learners build real-world AI applications, including Chatbots, RAG pipelines, and LangChain-powered agents using FastAPI and vector databases.

    Delivered hands-on project-based learning in model training (PyTorch, TensorFlow), data analysis (Pandas, Scikit-learn), and backend development (SQLModel, PostgreSQL).

    Taught international students across time zones, building a reputation for clear explanations, patience, and student success in interviews and academic exams.

    Simplified complex AI concepts like LLMs, LangGraph, and RAG for beginners and advanced learners alike, using visual explanations and interactive coding labs.
  • Agentic AI Tutor (Jun, 2024–Present) at SuperProf
    Python Programming (Beginner → Advanced):
    Total Classes: 15-25 classes
    Class Duration: 60–90 minutes
    Outcome: You’ll confidently write Python programs and build a strong base for backend, AI, and automation.

    ⚙️ Backend Development with Python & JavaScript
    Technologies: FastAPI, Flask, Node.js, REST APIs, Databases, Auth
    Total Classes: 10–16
    Class Duration: 60–90 minutes
    Outcome: Build production-ready APIs used in real applications.

    Agentic AI & LLM Development (Beginner → Advanced)
    Technologies: LLMs, Agents, Tools, Assistants, LangChain, LangGraph, CrewAI, OpenAI Agents SDK, RAG, Vector DBs, MCP
    Total Classes: 15–30
    Class Duration: 60-90 minutes
    Outcome: Design and deploy intelligent AI agents that think, plan, and act.

    Chatbot Development (Rule-Based → AI-Powered)
    Technologies: LLMs, LangChain, LangGraph, Pinecone, FAISS, Qdrant, Streamlit, Chainlit
    Total Classes: 10-20
    Class Duration: 60-90 minutes
    Outcome: Build smart, scalable chatbots for business, support, and automation.

    ☁️ Cloud, Docker & Kubernetes

    Technologies: Docker, Kubernetes, AWS, Azure, GCP
    Total Classes: 10-20
    Class Duration: 60-90 minutes
    Outcome: Deploy and manage applications like a professional engineer.
  • Agentic AI Engineer (Jan, 2024–Feb, 2025) at Panaversity
    Built advanced AI learning agents for Pana AI, an edtech platform powered by Agentic AI.

    Created intelligent systems for automating education workflows: content delivery, Q&A generation, and adaptive learning.

    Specialized in RAG pipelines including Vector RAG, Graph RAG, and CRAG using vector and graph databases.

    Developed modular and scalable codebases suitable for tutoring in maintainable AI architectures.

    Familiar with Agile methods – great for coaching students through capstone projects and collaborative work.

Education

  • Certified Kubernetes Application Developer (Mar, 2025–Aug, 2025) from Linux Foundation USA–scored 88
  • Certified Neo4j Professional (Oct, 2024–Feb, 2025) from Neo4j–scored A+
  • Agentic AI for everyone (Aug, 2024–now) from Vanderbuilt University–scored A+
  • Custom AI Assistants (Aug, 2024–now) from Vanderbuilt University–scored A+
  • Certified LangGraph Agents Developer (Jun, 2024–Oct, 2024) from LangChain Academy–scored A+
  • Cloud Applied Generative and Agentic AI Engineering (Oct, 2023–now) from PIAIC Faisalabad–scored A+
  • Data Science with Python (Jun, 2023–Sep, 2024) from Simplilearn.com–scored A+

Fee details

    Rs2,800–5,600/hour (US$10.05–20.10/hour)

    Depending upon the subjects, time, and additional services.

Courses offered

  • 🐍 Python Programming (Beginner → Advanced)

    • US$399
    • Duration: 25 Hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English, Hindi, Urdu
    • Certificate provided: Yes
    This course is a complete Python learning path designed to build a strong programming foundation and gradually move learners toward advanced concepts used in real-world development.

    What you’ll learn:

    - Python basics: variables, data types, conditions, loops
    - Functions, modules, and file handling
    - Object-Oriented Programming (OOP)
    - Error handling, debugging, and best practices
    - Data structures and problem-solving techniques
    - Working with virtual environments and libraries

    How this course is taught:

    - Step-by-step explanations (beginner-friendly)
    - Real-world examples and logic-building exercises
    - Hands-on practice in every class

    Outcome:

    By the end of this course, students will confidently write Python programs, understand programming logic deeply, and be fully prepared for backend development, AI, automation, and advanced Python frameworks.

  • ⚙️ Backend Development with Python & JavaScript + Databases

    • US$399
    • Duration: 25 Hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English, Hindi, Urdu, Punjabi
    • Certificate provided: Yes
    ⚙️ Backend Development with Python & JavaScript

    This course focuses on teaching how real-world backend systems are designed, built, and integrated into modern applications using Python and JavaScript. The emphasis is on practical, production-level backend development, not just theory.

    Frameworks & Technologies Covered:

    FastAPI (Python) – modern, high-performance APIs

    Node.js with Express.js (optional)

    Flask (optional, for foundational understanding)

    REST API design & best practices

    Databases: PostgreSQL (SQL) & MongoDB (NoSQL)

    Core Backend Concepts:

    API architecture and request–response lifecycle

    Authentication & authorization (JWT, sessions, etc.)

    Database modeling and API–DB integration

    Backend validation, error handling, and security

    Advanced & Real-World Integrations:

    Backend integration with frontend applications

    Third-party API integrations (payments, services, tools)

    LLM API integration (OpenAI / similar APIs)

    Environment variables, configs, and deployment-ready setups

    Key Skills You’ll Gain:

    Build clean, scalable, and secure backend APIs

    Connect backend services with frontend applications

    Work with both SQL and NoSQL databases

    Integrate AI/LLM capabilities into backend systems

    Understand how production backends work in real companies

    Outcome:

    By the end of this course, students will confidently build production-ready backend systems used in web and mobile applications and be prepared to work on real-world backend and AI-powered projects.

  • 🤖 Agentic AI & LLM Development (Beginner → Advanced)

    • US$499
    • Duration: 30 Hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English, Hindi, Urdu, Punjabi
    • Certificate provided: Yes
    This course focuses on building intelligent AI systems that can reason, plan, and act using modern LLM and agent-based architectures.

    Technologies covered:

    LLMs & prompting

    Agentic AI concepts

    LangChain, LangGraph, CrewAI

    OpenAI Agents SDK

    Tools, memory, and workflows

    RAG & Vector Databases

    MCP (Model Context Protocol)

    What you’ll build:

    Multi-step AI agents

    Tool-using AI systems

    Autonomous task-solving agents

    Knowledge-aware AI applications

    Outcome:

    By the end, learners will be able to design, build, and deploy advanced AI agents for automation, products, and intelligent applications.

  • 💬 Chatbot Development (Rule-Based → AI-Powered)

    • US$299
    • Duration: 20 Hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English, Hindi, Urdu, Punjabi
    • Certificate provided: Yes
    This course teaches chatbot development from basic logic-based bots to advanced AI-powered conversational systems.

    Topics covered:

    - Rule-based chatbot fundamentals
    - LLM-powered chatbots
    - LangChain & LangGraph
    - Vector databases (Pinecone, FAISS, Qdrant)
    - Context handling & memory
    - Streamlit & Chainlit for UI

    What you’ll learn:

    - Designing conversation flows
    - Connecting chatbots to knowledge bases
    - Building scalable chatbot systems
    - Deploying chatbots for real use cases

    Outcome:

    Students will be able to create smart, business-ready chatbots for support, automation, and AI-driven interactions.

  • ☁️ Cloud, Docker & Kubernetes

    • US$499
    • Duration: 30 Hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: Yes
    This course teaches how to deploy, scale, and manage applications using modern cloud and DevOps tools.

    - Technologies covered:
    - Docker & Docker Compose
    - Kubernetes fundamentals
    - Cloud platforms: AWS, Azure, GCP
    - Containers, images, and orchestration
    - Deployment strategies

    Key skills you’ll gain:

    - Containerizing applications
    - Managing services with Kubernetes
    - Understanding cloud infrastructure
    - Deploying applications professionally

    Outcome:

    Learners will gain real-world DevOps and cloud deployment skills, enabling them to deploy applications like professional engineers.

  • ⚡ Vibe Coding — AI-Driven Software Development

    • US$399
    • Duration: 25 Hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: Yes
    Vibe Coding is a modern, hands-on course focused on AI-driven development, where developers learn how to build software faster, smarter, and with better flow using cutting-edge AI coding tools. This course is not about replacing developers—it’s about amplifying developer productivity and creativity.

    Tools & Platforms Covered:

    - Cursor – AI-first code editor workflows
    - GitHub Copilot – pair-programming with AI
    - Claude Code – reasoning-driven coding assistance
    - OpenAI Codex – AI-assisted code generation
    - Gemini CLI & QWEN CLI – command-line AI development
    - Lovable, Bolt, V0.dev – AI-powered app & UI generation

    What You’ll Learn:

    - AI-assisted coding workflows and best practices
    - Prompting techniques for accurate code generation
    - Refactoring, debugging, and testing with AI tools
    - Rapid prototyping and feature development
    - Using AI for documentation, code review, and optimization
    - Avoiding common pitfalls of AI-generated code

    How This Course Is Different:

    - Focus on developer mindset + AI collaboration
    - Real coding tasks, not just tool demos
    - Learn when to trust AI and when to override it
    - Build faster without sacrificing code quality

    Outcome:

    By the end of this course, learners will confidently practice AI-driven development, write better code in less time, and adopt modern workflows used by top engineers and startups worldwide

5 Reviews
5 out of 5

User Photo December 11, 2025
Payment verified US$ 1 (50 Coins)

Agentic AI + Backend + Cloud Trainer

What a Tutor. Must prefer him

User Photo December 11, 2025
Payment verified US$ 1 (50 Coins)

Best Python And AI Tutor

He can teach everything from Python, Backend, Cloud, AI, Agentic, Kubernetes and much more. Super Cool to have him my side.

User Photo December 11, 2025
Payment verified US$ 1 (50 Coins)

Zain is an amazing tutor

Zain is an amazing tutor. He is very patient, detail oriented and thorough in his teaching methodology. My son learnt the ropes of Python, Al and ML from him which helped him Land a successful summer internship. I highly recommend him for any tutoring arrangement.

User Photo December 11, 2025
Payment verified US$ 1 (50 Coins)

Expert Agentic AI Engineer and Tutor

Zain is an expert Agentic AI and Full Stack Engineer with a deep expertise in Training and Mentoring.

User Photo December 20, 2024
Payment verified US$ 25 (1250 Coins)

Expert in Machine Learning and Python

I am very pleased with Muhammad's tutoring and coding help. He understood my project requirements and was able to help me on short notice. Muhammed is an expert at explaining Python code in machine learning models.

© 2016 - 2026 TeacherOn. All rights reserved