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PYTHON FOR AI

Start your journey towards AI the right way.

  • 3 Months
  • 4.9 Rating
  • 6 live Projects
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Course Syllabus

  • 03 Months Course
  • 6 live Projects
  • 1 Hour Daily
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Module 1

Python & programming
  • Python & Programming Foundation Topics Programming fundamentals, Why Python for AI/Data Science, Python features and applications, Interpreter vs compiler, Python execution, VS Code/Jupyter, .py vs .ipynb Practical Hello World; Basic print statements; First Python program Assessment Install/configure Python and create a first program
  • Variables & Data Types Topics Variables and naming conventions, Dynamic typing, int, float, str, bool, None, type() and id() Practical Student/employee information variables; Inspect data types Assessment Create a student information program
  • Input, Output & Type Casting Topics input(), print(), Multiple variables, int(), float(), str(), bool(), Type conversion Practical Student information program; Simple calculator Assessment Build a student information system
  • Operators Topics Arithmetic, Comparison, Assignment, Logical, Membership, Identity, Bitwise Practical Salary calculator; Shopping bill; Result calculator Assessment Create programs using and/or/not/in/is
  • Conditional Statements Topics if, if-else, if-elif-else, Nested conditions, Multiple conditions, and/or/not Practical Grade calculator; Login validation; Loan eligibility Assessment Create an eligibility/result application
  • Loops Topics for, while, range(), Nested loops, Loop control Practical Tables; Sum; Factorial; Prime; Fibonacci Assessment Solve 10 loop problems
  • Break, Continue & Pass Topics break, continue, pass, Nested loops Practical Number guessing game; Menu-driven program Assessment 20-question Python assessment + 5 coding problems
  • Strings Topics String creation, Indexing, Negative indexing, Slicing, String methods Practical upper/lower; strip; replace; split; join; find; count Assessment Build a text-processing application
  • Lists Topics List creation, Indexing, Slicing, Nested lists, List operations Practical append; extend; insert; remove; pop; sort; reverse Assessment Student marks management
  • Tuple, Set & Dictionary Topics Tuple, Set, Dictionary, Data structure comparison, Dictionary methods, Set operations Practical Student database using dictionary Assessment Build a small record-management program
  • Comprehensions Topics List comprehension, Conditional comprehension, Nested comprehension, Dictionary comprehension, Set comprehension Practical Create square/even/filtered collections Assessment 10 comprehension problems
  • Functions Topics Function definition, Parameters, Arguments, return, Default/keyword arguments, *args, **kwargs, Scope Practical Reusable utility functions Assessment Build a function-based application
  • Lambda, Map, Filter & Reduce Topics Lambda, map(), filter(), reduce(), sorted(key=...) Practical Lambda transformations; Filtering; Aggregation Assessment 20 lambda/map/filter/reduce problems
  • Modules & Packages Topics import, Modules, Packages, pip, Virtual environments, requirements.txt Practical Create a custom module/package Assessment Build a reusable Python utility package
  • File Handling Topics Text files, Read/write/append, with open(), CSV, JSON Practical Read/write student records; CSV and JSON handling Assessment Student record system using files
  • Exception Handling Topics Errors vs exceptions, try/except/else/finally, Multiple exceptions, Custom exceptions Practical Robust calculator; Input validation Assessment Add error handling to an existing project
  • OOP Fundamentals Topics Class, Object, Attributes, Methods, Constructor, self Practical Student class; Employee class Assessment Create an object-oriented mini application
  • OOP Advanced Topics Encapsulation, Inheritance, Polymorphism, Abstraction, Class variables, Static methods, Instance methods Practical Employee Management System Assessment Complete OOP-based mini project
  • Python for Data/AI Topics NumPy basics, Arrays, Vectorization, Pandas Series/DataFrame, CSV reading, Basic analysis Practical df.head(); df.info(); df.describe(); Basic filtering Assessment Student performance analysis
  • Python Capstone & Assessment Topics Project architecture, Code organization, Testing/debugging, Project presentation Practical Choose and build: Student Management, Expense Tracker, Employee System, Sales Analysis, E-commerce Analyzer Assessment 20 MCQs + 10 coding problems + practical + project presentation

Module 2

DBMS + SQL Lessons
  • DBMS Fundamentals Topics Data, database, DBMS, RDBMS, Tables, rows, columns, Primary/foreign keys, Relationships, MySQL/PostgreSQL Practical Create academy database Assessment Design a simple relational database
  • SQL Basics Topics SELECT, FROM, WHERE, ORDER BY, DISTINCT, LIMIT Practical Student database queries Assessment 20 SQL query exercises
  • DDL Topics CREATE, ALTER, DROP, TRUNCATE Practical Create and modify tables Assessment Build academy database schema
  • DML + CRUD Topics INSERT, UPDATE, DELETE, SELECT, CRUD concept Practical Student CRUD operations Assessment Create CRUD query set
  • SQL Operators Topics Arithmetic, Comparison, Logical, IN, BETWEEN, LIKE, IS NULL Practical Filtering customer/student data Assessment 25 filtering exercises
  • Aggregate Functions & GROUP BY Topics COUNT, SUM, AVG, MIN, MAX, GROUP BY, HAVING Practical Sales analysis Assessment Solve grouped business-analysis queries
  • SQL Joins Topics INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN, SELF JOIN, CROSS JOIN Practical Customers + Orders database Assessment 20 join problems
  • Subqueries Topics Single-row, Multi-row, Correlated, Nested subqueries Practical Employee/customer analysis Assessment Advanced subquery assignment
  • Constraints & Database Design Topics PRIMARY KEY, FOREIGN KEY, UNIQUE, NOT NULL, CHECK, DEFAULT, Referential integrity, Normalization basics Practical Design relational tables Assessment Normalize a sample database
  • DCL + TCL Topics GRANT, REVOKE, COMMIT, ROLLBACK, SAVEPOINT, Transactions Practical Transaction scenarios Assessment Write transaction-management exercises
  • Advanced SQL Topics CASE, COALESCE, NULL handling, String functions, Date functions, Math functions Practical Business reporting queries Assessment Advanced SQL worksheet
  • SQL Project & Assessment Topics Database project design, Query optimization basics, Reporting Practical E-commerce DB: Customers, Products, Orders, OrderDetails, Payments Assessment 25 real-world SQL queries + assessment

Module 3

Machine Learning
  • AI, ML & Data Science Foundations Topics AI, Machine Learning, Deep Learning, Generative AI, Data Science, ML lifecycle, Features/target, Training/testing/prediction Practical Map an AI/ML problem to the ML lifecycle Assessment Create an ML terminology sheet
  • Types of Machine Learning Topics Supervised: regression/classification, Unsupervised: clustering/dimensionality reduction, Reinforcement learning basics Practical Build an ML workflow diagram Assessment Identify the ML type for 15 real-world problems
  • First ML Model Topics Linear Regression, X/y, train/test split, fit, predict, MAE, MSE, RMSE, R² Practical House price prediction with scikit-learn Assessment Complete a first ML project

Module 4

DSA with Python
  • DSA Fundamentals Topics What is DSA?, Algorithms, Data structures, Time/space complexity, Big O Practical Analyze simple algorithms Assessment Big-O worksheet
  • Arrays & Lists for DSA Topics Traversal, Searching, Insertion, Deletion, Max/min, Frequency Practical Largest; Second largest; Remove duplicates; Reverse Assessment 10 array/list problems
  • Strings for DSA Topics String traversal, Frequency, Palindrome, Anagram, Duplicates Practical Reverse; Character frequency; First non-repeating character Assessment 10 string problems
  • Searching Algorithms Topics Linear search, Binary search, When to use each, Complexity Practical Implement both manually Assessment Search problem set
  • Sorting Algorithms Topics Bubble sort, Selection sort, Insertion sort, sort(), sorted() Practical Implement and compare sorting Assessment Sorting problem set
  • Stack Topics LIFO, Push, Pop, Peek, Stack applications Practical Parentheses matching; Undo/browser history concept Assessment Implement stack using Python
  • Queue Topics FIFO, Enqueue, Dequeue, Circular queue, collections.deque Practical Task/printer scheduling Assessment Implement queue
  • Linked List Topics Node, Head, Traversal, Insert, Delete, Search Practical Implement singly linked list Assessment Linked-list problem set
  • Recursion Topics Base condition, Recursive condition, Call stack Practical Factorial; Fibonacci; Sum of digits; Reverse string; Binary search Assessment 10 recursion problems
  • DSA Assessment & Project Topics Problem-solving patterns, Debugging, Complexity review Practical Student Ranking System using lists, dictionaries, searching and sorting Assessment 25 coding problems + project assessment

Module 5-6

Industry preparation
  • Git & GitHub Fundamentals Topics Git vs GitHub, Repository, Local/remote, Clone, Add, Commit, Push, Pull, Branch Practical git init; git status; git add; git commit; git push Assessment Create and push first repository
  • GitHub Project & Portfolio Topics README, .gitignore, requirements.txt, Branches, Pull requests, Profile, Project documentation Practical Upload Python/ML project Assessment Document and publish a project
  • LinkedIn & Professional Profile Topics Professional headline, About section, Skills, Projects, Certifications, GitHub integration, Resume alignment, Technical posts, Networking Practical Create/update LinkedIn profile; Write project descriptions Assessment Complete professional portfolio: LinkedIn → GitHub → Projects → Resume

Build. Document. Present.

Industry preparation
  • Student Management System Python, functions, lists, dictionaries, file handling, exceptions
  • Expense Tracker Python, CSV, functions, Pandas, data analysis
  • E-Commerce Database DBMS, SQL, CRUD, joins, GROUP BY, subqueries
  • Student Ranking System DSA, lists, sorting, searching, dictionaries, algorithms
  • House Price Prediction Pandas, EDA, train/test split, Linear Regression, evaluation
  • Employee Analytics System — OptionalPython + SQL + Pandas
  • 03 Months Course
  • 6 live Projects
  • 1 Hour Daily
Download Curriculam