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Python Data · Web · AI ✔ 3 Tracks Available

Python Learning Path

Three tracks aligned to your syllabus documents: Beginner Certification (Python foundations, analytics with Pandas, HTML/CSS/JS, Flask, SQL, full-stack integration, deployment, capstone), Intermediate Certification (prompt engineering, LLMs, RAG, and evaluation per the intermediate document), and Professional Full-Stack (deep Python through Django/DRF, DevOps, React, integration, and dual capstones). Format: Theory + Lab/Assignments.

⏱
Duration
100 Hours
🧪
Lab / Assignments
65 Hours
🎯
Format
Theory + Lab/Assignments
🏆
Certificate
Arich Certified
Enrol Now →
Programme
PYTHON
Select a track to view its syllabus
L1
PYTHON-BEG · Beginner
100 hrs · 8 Modules
›
L2
PYTHON-INT · Intermediate
Prompt & LLMs · 10 Modules
›
L3
PYTHON-PRO · Professional
Full-Stack · 27 Modules
›
📄 PYTHON-BEG — Beginner Certification
L1
PYTHON-BEG
Beginner — Certification Syllabus
Total Duration: 100 Hours  |  Theory: 35 hrs  |  Lab / Assignments: 65 hrs
01
Python Foundations
Theory: 8 hrs  ·  Lab: 12 hrs  ·  Total: 20 hrs
▼
Python Installation & Virtual Environments
Syntax, Variables, Data Types
Control Flow (If, Loops)
Functions & Parameters
Core Data Structures (List, Dict, Tuple)
Error Handling Basics
File Handling (CSV, JSON)
Problem-Solving Drills (Mitigation)
02
Data Handling & Analytics Foundations
Theory: 5 hrs  ·  Lab: 10 hrs  ·  Total: 15 hrs
▼
Introduction to Pandas
Loading CSV & JSON Data
Data Cleaning Basics
Filtering, Sorting, Grouping
Basic Visualizations
Data Pipeline Thinking (Mitigation)
03
Frontend Foundations (HTML, CSS, JS)
Theory: 5 hrs  ·  Lab: 10 hrs  ·  Total: 15 hrs
▼
HTML Structure & Semantic Tags
CSS Fundamentals (Selectors, Box Model)
Flexbox & Responsive Layout
JavaScript Basics (Variables, Types)
JS Functions & Events
DOM Manipulation Essentials
Fetch API Introduction (Mitigation)
04
Backend Foundations with Flask
Theory: 7 hrs  ·  Lab: 13 hrs  ·  Total: 20 hrs
▼
REST & Backend Concepts
Flask Project Setup
Routing, Request & Response Cycle
JSON Input/Output
Building Basic REST APIs
Flask App Structure
Input Validation & Error Handling
API Testing with Postman
API Contract Design (Mitigation)
05
Database Foundations (SQL + Integration)
Theory: 4 hrs  ·  Lab: 6 hrs  ·  Total: 10 hrs
▼
SQL Basics (SELECT, WHERE)
Joins & Aggregations
CRUD Operations
Schema Design Basics
Connecting Flask to DB
Index & Data Type Basics (Mitigation)
06
Full-Stack Integration (Frontend ↔ Backend ↔ DB)
Theory: 3 hrs  ·  Lab: 7 hrs  ·  Total: 10 hrs
▼
Calling Flask APIs from JavaScript
Displaying API Data on UI
Handling Loading/Error States
Passing Parameters to API
Rendering Charts from API Data
Debugging Workflow (Mitigation)
07
Basic Deployment & Workflow Foundations
Theory: 2 hrs  ·  Lab: 3 hrs  ·  Total: 5 hrs
▼
Running Flask in Development Mode
Running Frontend via Live Server
Connecting Frontend & Backend Locally
requirements.txt & Environment Setup
Deployment Overview (Conceptual Only)
Sharing a Working Project (Mitigation)
08
Capstone Project
Theory: 1 hr  ·  Lab: 4 hrs  ·  Total: 5 hrs
▼
Build a Simple Full-Stack App
API + Database + Frontend Integration
Displaying a Chart from API
Final Submission & Demo
Starter Template Provided (Mitigation)
100
Total Hours
35
Theory Hrs
65
Lab Hrs
📄 PYTHON-INT — Intermediate Certification
L2
PYTHON-INT
Intermediate — Prompt Engineering & LLMs
Total Duration: 63 Hours  |  Theory: 27 hrs  |  Lab / Assignments: 36 hrs
01
Introduction to Prompt Engineering
Theory: 3 hrs  ·  Lab: 3 hrs  ·  Total: 6 hrs
▼
What is a Prompt: Definition & Types
Role of Prompt Engineering in the LLM Lifecycle
Prompt–Response Cycle: How LLMs Interpret Prompts
Parameters: Temperature, Top-p, Max Tokens
Context Windows & Token Limits
Lab: Experiment with Parameter Variations
02
Prompt Design Fundamentals
Theory: 3 hrs  ·  Lab: 3 hrs  ·  Total: 6 hrs
▼
Principles: Clarity, Specificity, Constraints
Structuring Instructions
Roles & Perspectives
Formatting (Tables, Lists, Code, Markdown)
Prompt Pitfalls & Anti-patterns
Lab: Rewrite Poor Prompts → Optimized Prompts
03
Prompting Techniques — Part 1
Theory: 3 hrs  ·  Lab: 5 hrs  ·  Total: 8 hrs
▼
Zero-Shot Prompting
Few-Shot Prompting
Chain-of-Thought Prompting
Iterative Refinement / Re-Prompting
Lab: Create Few-Shot Examples & Evaluate
04
Prompting Techniques — Part 2
Theory: 3 hrs  ·  Lab: 5 hrs  ·  Total: 8 hrs
▼
Persona Prompting
Multi-Turn Conversation & Self-Consistency
Instruction Hierarchies (System → User → Assistant)
Evaluating Prompt Outcomes
Lab: Conversational Prompt Chain
05
Understanding Generative AI & LLMs
Theory: 3 hrs  ·  Lab: 3 hrs  ·  Total: 6 hrs
▼
Evolution of Generative AI & LLMs
Embeddings, Attention & NN Basics
Transformer Architecture (E2E Overview)
Lab: Explore Token Embeddings & Similarity
06
APIs, Playground & Tools
Theory: 3 hrs  ·  Lab: 3 hrs  ·  Total: 6 hrs
▼
Using OpenAI Playground, Model Selection
API Parameters & JSON Requests
Calling LLMs via Python Scripts
Error Handling, Rate Limits, Token Counts
Lab: Build Simple Summarizer/Q&A Tool
07
RAG & Context Augmentation
Theory: 3 hrs  ·  Lab: 5 hrs  ·  Total: 8 hrs
▼
Why Context is Limited
Introduction to Embeddings
Vector Databases (FAISS, Pinecone, Chroma)
RAG (Retrieval Augmented Generation) Basics
Lab: Build Mini-RAG Demo
08
Structured Outputs + Function Calling
Theory: 2 hrs  ·  Lab: 3 hrs  ·  Total: 5 hrs
▼
Structured Output Prompting (JSON Mode)
Enforcing Output Formats & Schemas
Basic Function Calling: Concept & Workflow
Lab: JSON Output Generation + Simple Function Call
09
Capstone Project
Theory: 1 hr  ·  Lab: 5 hrs  ·  Total: 6 hrs
▼
Choose Scenario (Chatbot, Summarizer, Resume Analyzer)
Design Prompt Workflow & Build
Presentation, Evaluation & Peer Review
10
Ethics, Evaluation & Future Trends
Theory: 3 hrs  ·  Lab: 1 hr  ·  Total: 4 hrs
▼
Prompt Evaluation Metrics (BLEU, ROUGE, Qualitative)
Responsible Prompting: Bias, Safety & Misinformation
Future of Prompt Engineering Roles
Lab: Evaluate Prompt Variants
63
Total Hours
27
Theory Hrs
36
Lab Hrs
📄 PYTHON-PRO — Python Full Stack Professional
L3
PYTHON-PRO
Python Full Stack — Professional Syllabus
Total Duration: 900 Hours  |  Theory: 293 hrs  |  Lab / Assignments: 607 hrs
01
Python Foundations
Theory: 14 hrs  ·  Lab: 26 hrs  ·  Total: 40 hrs
▼
Python Installation, IDE Setup
Virtual Environments (venv)
Syntax, Variables, Operators
Data Types & Basic Structures
Control Flow, Loops, Comprehensions
Functions & Modular Programming
File Handling (txt, CSV, JSON)
02
Intermediate Python
Theory: 14 hrs  ·  Lab: 26 hrs  ·  Total: 40 hrs
▼
Modules & Packages
Exception Handling & Custom Exceptions
Logging & Debugging
Iterators & Generators
Functional Programming
OOP: Classes, Inheritance, Composition
03
Advanced Python
Theory: 14 hrs  ·  Lab: 26 hrs  ·  Total: 40 hrs
▼
Decorators (Function & Class)
Context Managers
Python Data Model (Dunder Methods)
Type Hints & Static Typing (mypy)
Packaging & Distribution
04
Python Internals & Performance
Theory: 7 hrs  ·  Lab: 13 hrs  ·  Total: 20 hrs
▼
CPython Internals & Bytecode
Memory Model, Object Lifecycle, GC
GIL & Concurrency
Profiling & Optimization
05
Testing & Code Quality
Theory: 7 hrs  ·  Lab: 13 hrs  ·  Total: 20 hrs
▼
pytest Basics
Fixtures & Parametrization
Mocking & Patching
Code Quality Tools (black, flake8, pre-commit)
06
PostgreSQL & SQL for Backend
Theory: 14 hrs  ·  Lab: 26 hrs  ·  Total: 40 hrs
▼
SQL Basics (SELECT, JOIN, GROUP BY)
Intermediate SQL (Subqueries, Window Functions)
PostgreSQL Internals (Indexes, EXPLAIN)
Python DB Access with psycopg2
07
Flask Microservices & API Foundations
Theory: 14 hrs  ·  Lab: 26 hrs  ·  Total: 40 hrs
▼
Flask Basics (Routing, Request/Response)
Building REST APIs
Blueprints & Modular Design
Flask Microservice Project
08
Django Backend Engineering
Theory: 21 hrs  ·  Lab: 39 hrs  ·  Total: 60 hrs
▼
Django Fundamentals (MVT, URLs, Views)
Django ORM, Models, QuerySets
Authentication, Admin, Static/Media
Django Advanced (Signals, Middleware, Managers)
09
Django REST Framework
Theory: 21 hrs  ·  Lab: 39 hrs  ·  Total: 60 hrs
▼
DRF Basics (Serializers, Viewsets, Routers)
DRF Intermediate (Permissions, Filtering, Pagination)
DRF Advanced (Nested Serializers, Versioning, Optimization)
10
Backend Architecture & Patterns
Theory: 7 hrs  ·  Lab: 13 hrs  ·  Total: 20 hrs
▼
Clean Architecture
Services & Repository Pattern
Factory, Strategy, Adapter Patterns
Microservices Concepts
11
DevOps Lite
Theory: 7 hrs  ·  Lab: 13 hrs  ·  Total: 20 hrs
▼
Git & Branching Strategies
Docker & Docker Compose
Nginx + Gunicorn Deployment
CI/CD Basics (GitHub Actions)
12
Cloud Deployment Basics
Theory: 7 hrs  ·  Lab: 13 hrs  ·  Total: 20 hrs
▼
Cloud VMs, SSH, Security Groups
Deploying Django/Flask
Cloud PostgreSQL
HTTPS, Domains, Reverse Proxy
13
Backend Capstone
Theory: 5 hrs  ·  Lab: 35 hrs  ·  Total: 40 hrs
▼
Requirements & Architecture
Backend Build (Django + DRF)
Database Optimization
Authentication & Roles
Analytics Endpoints
Deployment (Docker + Cloud)
14
HTML5 & CSS3 Foundations
Theory: 14 hrs  ·  Lab: 26 hrs  ·  Total: 40 hrs
▼
Web, DOM, Rendering
HTML Structure & Elements
Semantic HTML, Accessibility
CSS Basics
Flexbox & Grid
Responsive Design
15
Core JavaScript Foundations
Theory: 14 hrs  ·  Lab: 26 hrs  ·  Total: 40 hrs
▼
Execution Model, Variables
Control Flow
Functions
DOM Manipulation
Error Handling
16
Modern JavaScript (ES6+)
Theory: 14 hrs  ·  Lab: 26 hrs  ·  Total: 40 hrs
▼
let/const, Destructuring
Spread/Rest
Promises, async/await
Map/Filter/Reduce
Modules, Imports/Exports
Fetch API
17
JavaScript in the Browser
Theory: 7 hrs  ·  Lab: 13 hrs  ·  Total: 20 hrs
▼
Events & Delegation
Forms & Validation
LocalStorage / SessionStorage
CORS & API Basics
18
Frontend Tooling
Theory: 7 hrs  ·  Lab: 13 hrs  ·  Total: 20 hrs
▼
npm, yarn
Bundlers (Vite/Webpack)
Development Servers
Preparing for React
19
React Foundations
Theory: 14 hrs  ·  Lab: 26 hrs  ·  Total: 40 hrs
▼
React Setup
JSX & Components
Props & State
Lists & Keys
Component Architecture
20
React Advanced
Theory: 14 hrs  ·  Lab: 26 hrs  ·  Total: 40 hrs
▼
Hooks
Custom Hooks
React Router
Context API
Error Boundaries
21
API Integration & Data Handling
Theory: 14 hrs  ·  Lab: 26 hrs  ·  Total: 40 hrs
▼
Fetching from DRF APIs
Loading & Error States
Pagination & Search
Forms & Controlled Inputs
JWT Authentication
22
UI Frameworks
Theory: 7 hrs  ·  Lab: 13 hrs  ·  Total: 20 hrs
▼
Framework Basics
Layouts & Grid Systems
Reusable Components
Component Patterns
23
Frontend Architecture & Performance
Theory: 7 hrs  ·  Lab: 13 hrs  ·  Total: 20 hrs
▼
Folder Structure
Clean UI Architecture
Performance Optimization
Debugging Tools
24
Frontend Testing & Deployment
Theory: 7 hrs  ·  Lab: 13 hrs  ·  Total: 20 hrs
▼
Jest Basics
Component Testing
Build Process
Deploying React with Nginx
25
Frontend Capstone
Theory: 2 hrs  ·  Lab: 18 hrs  ·  Total: 20 hrs
▼
UI Planning
React + DRF Integration
Charts & Dashboards
Final Build & Deploy
26
Full-Stack Integration
Theory: 11 hrs  ·  Lab: 29 hrs  ·  Total: 40 hrs
▼
API Contract Design
JWT Auth Flow
React + DRF Integration
Error Handling & Logging
Full-Stack Debugging
End-to-End Deployment
27
Full-Stack Final Capstone
Theory: 9 hrs  ·  Lab: 31 hrs  ·  Total: 40 hrs
▼
Requirements & Architecture
Backend Build (Django + DRF)
Frontend Build (React)
Integration Testing
Deployment Pipeline
Final Presentation
900
Total Hours
293
Theory Hrs
607
Lab Hrs