reply = client.chat.completions.create( model=MODEL, messages=history) history.append(reply.choices[0].message)
AI Chatbot
Python + AI API integration and conversational flow.
Build your foundation in Python, SQL and APIs — then learn Machine Learning, Generative AI and LLMs to build practical AI applications like a chatbot, text summarizer and resume analyzer.
This AI + Python Developer course in Kharghar, Navi Mumbai is a practical, beginner-friendly program to learn Python and use modern AI to build real applications. You start with strong Python fundamentals, work with SQL databases and REST APIs, and then learn Machine Learning, Generative AI and LLMs.
Python programming from basics to advanced concepts
SQL databases and Python database connectivity
APIs and real-world application integration
AI, Machine Learning and Generative AI fundamentals
Build AI-powered applications using Python
Work on real-world projects and practical workflows
A structured path from setup to a complete real-world application.
Variables, data types, operators, conditions, loops and basic problem solving.
Functions, lists, tuples, dictionaries, strings and modules.
Classes, objects, inheritance, polymorphism and encapsulation.
Files, exceptions, JSON and CSV handling.
NumPy, Pandas and practical data processing.
Databases, tables, SELECT, JOIN, GROUP BY and subqueries.
Connect Python to a database and perform CRUD operations.
REST API concepts, JSON, GET/POST and calling APIs from Python.
AI, Machine Learning, Generative AI and LLM concepts explained clearly.
ML concepts, training/testing, regression and classification fundamentals.
LLMs such as ChatGPT, Gemini and Claude: prompts, tokens, context, capabilities and limitations.
Call AI APIs from Python, send prompts and process AI responses.
Build simple AI-powered applications using practical Python workflows.
A final AI project integrating Python fundamentals with AI capabilities.
// each module includes practical exercises to reinforce learning
You finish with a portfolio of AI and Python projects you can show employers.
reply = client.chat.completions.create( model=MODEL, messages=history) history.append(reply.choices[0].message)
Python + AI API integration and conversational flow.
prompt = f"Summarize in 3 bullets:\n{text}" summary = ask_ai(prompt)
Prompting and processing AI-generated responses.
text = extract_pdf("resume.pdf") skills = ask_ai(f"List skills in: {text}")
Extract, analyze and summarize resume content.
q = input("Ask anything: ") print(ask_ai(q))
Ask questions and generate useful AI responses.
class Employee: def __init__(self, name, salary): self.name, self.salary = name, salary
Python programming, CRUD and application structure.
cur.execute( "SELECT * FROM students WHERE marks > ?", (80,)) rows = cur.fetchall()
Database connectivity, queries and CRUD operations.
One-to-one training at Code Nest, Kharghar. Message us on WhatsApp, call, or download the course brochure.
Still have a question? Call or WhatsApp us on +91 77188 43499.
The course runs for 4 months and covers 14 modules, from Python basics, SQL and APIs to Machine Learning, Generative AI and building AI applications.
No. The course is beginner-friendly and starts with Python fundamentals. It is designed for students, graduates, freshers and beginners.
Python programming and OOP, file handling, NumPy and Pandas, SQL databases, REST APIs, AI and Machine Learning fundamentals, Generative AI and LLMs, and calling AI APIs from Python to build real applications.
Yes. You build six practical projects: an AI Chatbot, AI Text Summarizer, AI Resume Analyzer, AI Question-Answer Application, a Python Employee Management System and a Python + SQL Application.
Training is one-to-one at Code Nest, Sector 13, Kharghar, Navi Mumbai.
The course is a strong entry point into AI application development, AI full stack development and Python application development, and prepares you for advanced agentic AI learning later.
Message us on WhatsApp or call +91 77188 43499, or email info@codenestinstitute.com to book your seat. You can also download the course brochure from this page.
AI agents, RAG and plugins with Semantic Kernel.
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