Master Full Stack Python with Generative AI, Machine Learning, DSA & Angular, HTML5, CSS3, JavaScript, Bootstrap, REST APIs, and AI-powered coding tools (ChatGPT, Copilot, Cursor) with hands-on practical project training course.
var, let, and
const differences
if..else, Ternary ?,
switch, Loops (for,
while, do..while, for/in,
for/of)
this binding,
arguments & constructorsmap, filter,
reduce, forEach, find
Map, Set,
WeakMap, WeakSet
super keyword, Method Overriding,
Encapsulation, Polymorphism#), Abstract Classes & Mixins
Pick,
Omit, Partial, Readonly)
map, switchMap,
catchError, etc.)
Fundamental Python syntax, data types, operators, control flow statements, functions, and object-oriented programming basics.
Decorators, generators, iterators, error/exception handling, file I/O operations, and advanced object-oriented design patterns.
Lists, dictionaries, tuples, sets, searching and sorting algorithms, time/space complexity, and algorithmic problem-solving.
Numerical computing, data manipulation with dataframes, statistical analysis, and visual data plotting.
Building desktop user interfaces and programmatic graphics using Python's built-in GUI libraries.
Relational database design, SQL queries, joins, filtering, and database integration with Python.
Document-based database handling, collections, queries, and integration using PyMongo/Motor.
Building robust web applications using Django's MVT architecture and Flask's lightweight micro-framework.
Implementing full-cycle database record management across SQL and NoSQL environments.
Designing and consuming structured API endpoints using HTTP methods and JSON payloads.
High-performance asynchronous web API development with automatic OpenAPI documentation.
Secure credential verification, session management, permissions, and access control.
Using debuggers, logging, linters, and virtual environments to maintain clean, production-grade code.
Leveraging ChatGPT, Gemini, and Copilot to accelerate Python workflows, debugging, and code generation.
Solving algorithm and logic problems on competitive programming platforms like HackerRank, LeetCode, and CodeChef.
Testing API requests, headers, query parameters, responses, and automation collections using Postman.
Integrating generative AI models and prompt engineering into Python applications for multimedia and code generation.
Comprehensive capstone project integrating Python, databases, backend frameworks, and AI features into a production-ready application.