Hands-on Projects
4 real-world projects — from fundamentals to a portfolio-ready capstone that proves job-ready skill.
AI & Data
Core & Advanced Python + Gen AI + Data Analysis Course
Future-ready Python, AI and data science skills. Practical training in Jabalpur with certification, project work, and placement support.
Projects
4 hands-on
Duration
4 months
Enrolled
300+ enrolled
Certificate
Included
Python + Gen AI
What is the Core & Advanced Python + Gen AI + Data Analysis course?
The Core & Advanced Python + Gen AI + Data Analysis course at IMG Jabalpur is a job-oriented program for learners who want practical, guided training in Python, Flask, FastAPI, AI/ML. The course combines classroom learning, assignments, and project work so you can understand the subject and show proof of skill.
PythonFlaskFastAPIAI/MLData AnalysisGen AIPandasNumPyREST APIs
Work with real business data and AI use cases
Create dashboards, reports, or automation workflows
Build a portfolio-ready project or capstone
Prepare for interviews with practical assignments
Earn a course completion certificate
Get guidance from experienced trainers
What you'll build
4 portfolio-ready projects
- 1AI chatbot using Gemini / OpenAI API with custom knowledge base
- 2Sales data analysis dashboard with Pandas, Matplotlib & Seaborn
- 3Document summarizer with Gen AI and PDF parsing automation
- 4Automated report generator with Python scripts and data pipelines
Curriculum
What you will learn — module by module
6 structured modules covering every concept you'll use on the job.
1
Python Fundamentals
- Installation, IDEs, first program, print & input
- Variables, data types — int, float, str, bool, None
- Operators — arithmetic, relational, logical, bitwise
- Control flow — if/elif/else, for loops, while loops, break/continue
- Functions — parameters, return values, default args, *args/**kwargs
- List comprehensions, dictionary comprehensions, generators
2
Object-Oriented Python
- Classes, objects, __init__, self, instance vs class attributes
- Inheritance — single, multiple, method overriding, super()
- Encapsulation, data hiding, property decorators
- Magic/dunder methods — __str__, __len__, __add__, __iter__
- Abstract classes, interfaces via ABC module
- Modules, packages, importing, __name__ == '__main__'
3
Data Analysis with Pandas & NumPy
- NumPy arrays — creation, indexing, slicing, broadcasting, ufuncs
- Pandas Series and DataFrames — reading CSV, Excel, JSON
- Data cleaning — handling nulls, duplicates, type conversion
- GroupBy, pivot tables, merge, join, concat operations
- Time series analysis — resampling, rolling windows, date indexing
- Exploratory Data Analysis (EDA) workflow
4
Data Visualization
- Matplotlib — line, bar, scatter, histogram, pie charts
- Seaborn — heatmaps, pair plots, box plots, violin plots
- Customizing figures — titles, labels, colors, subplots
- Plotly — interactive charts, 3D plots
- Storytelling with data — choosing the right chart type
5
Machine Learning & AI Basics
- ML workflow — data prep, feature engineering, training, evaluation
- Supervised learning — linear regression, logistic regression, decision trees
- Scikit-learn — train/test split, cross-validation, pipelines
- Unsupervised learning — K-Means clustering, PCA
- Model evaluation — accuracy, precision, recall, F1, confusion matrix
- Overfitting, underfitting, regularization basics
6
Generative AI & REST APIs (Flask / FastAPI)
- OpenAI / Gemini API — authentication, chat completions, embeddings
- Prompt engineering — system prompts, few-shot examples, chaining
- LangChain basics — chains, agents, memory, tools
- Building a RAG (Retrieval-Augmented Generation) chatbot
- Flask — routing, request/response, Jinja2 templates, Blueprints, REST endpoints
- FastAPI — path/query params, Pydantic models, async endpoints, auto Swagger docs
- Deploying Flask/FastAPI apps — Render, Railway, environment configs
Career Paths
Roles you can target after this course
From your first job to senior positions — see where this course takes your career.
Fresher Roles
0 – 2 years experience
- Junior Python Developer
- Data Analyst Trainee
- AI/ML Trainee Engineer
- Junior Data Scientist
- Business Intelligence Analyst
- Python Automation Engineer (Junior)
- Flask / FastAPI Developer Trainee
Mid-Level Roles
3 – 5+ years experience
- Data Scientist
- Machine Learning Engineer
- AI / Gen AI Engineer
- Senior Data Analyst
- Python Developer
- NLP / LLM Engineer
- Data Engineering Lead
Program Details
Everything included in the program
Structured Learning
Step-by-step modules designed for beginners through advanced learners. No prior experience needed.
Certification
Students receive a completion certificate. Select programs also prepare for industry-recognized exams.
Placement Support
Resume review, mock interviews, project mentoring and placement assistance to get you hired.
A little clarity
Core & Advanced Python + Gen AI + Data Analysis FAQs
What projects will I build in the Core & Advanced Python + Gen AI + Data Analysis course?
You will build 4 hands-on projects including: AI chatbot using Gemini / OpenAI API with custom knowledge base; Sales data analysis dashboard with Pandas, Matplotlib & Seaborn; and more. Each project is designed to demonstrate job-ready skills.
How long is the Core & Advanced Python + Gen AI + Data Analysis course?
The Core & Advanced Python + Gen AI + Data Analysis course duration is 4 months. The program includes guided training, practical exercises, and project work.
What will I learn in the Core & Advanced Python + Gen AI + Data Analysis course?
You will learn Python, Flask, FastAPI, AI/ML, Data Analysis, Gen AI and related practical skills through hands-on assignments and guided projects.
Is the Core & Advanced Python + Gen AI + Data Analysis course beginner friendly?
Yes. IMG courses are designed to start with fundamentals and progress into job-ready practical work, so beginners and career-switchers can join.
Does IMG provide placement support after this course?
Yes. IMG provides placement assistance, resume support, interview preparation, and project guidance to help students become job-ready.
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