Mode: Classroom Offline (Pune – FC Road & Kothrud) / Live Virtual Online / Hybrid

Duration: 3 months / 100+ hours 

4.9 (24,598) reviews

Core Python + LanGraph  + LangChain + HuggingFace + Ollama + RAG with LangGraph, + Prompt Chaining + CrewAI + Workflow

Bonus Free Content 🔥

Note: Separate batch & extra sessions for NON-IT Professionals to build strong programming skills from scratch.

Python Ecosystem & Environment Setup

  • Introduction to Python and its use cases
  • Installing Python (Windows/Linux/macOS)
  • Python distributions and package managers
  • Virtual environments
  • IDEs and editors (VS Code, PyCharm)
  • Introduction to Anaconda Distribution

Python Scripting Basics

  • Python syntax and indentation
  • Variables and data types
  • Input/output operations
  • Writing and executing Python scripts
  • Command-line execution

Functional Programming in Python

  • Functions and return values
  • Arguments and parameters
  • Lambda functions
  • Map, filter, and reduce
  • List, tuple, set, and dictionary comprehensions

Control Flow

  • Conditional statements (if, elif, else)
  • Looping constructs (for, while)
  • Break, continue, and pass
  • Nested loops
  • Pattern-based problems

Functions and Built-in Objects

  • User-Defined Functions (UDFs)
  • Scope and lifetime of variables
  • Built-in functions and modules
  • Docstrings and annotations

File Handling with Python

  • Reading and writing files
  • Working with CSV, TXT, and JSON files
  • File modes and file pointers
  • Context managers (with statement)

Exception Handling

  • Types of errors in Python
  • Try, except, else, finally blocks
  • Custom exceptions
  • Debugging common runtime errors

Object-Oriented Programming (OOP)

  • Classes and objects
  • Constructors and destructors
  • Encapsulation, inheritance, and polymorphism
  • Method overriding and operator overloading
  • Magic (dunder) methods

Advanced Python Concepts

  • Decorators and closures
  • Descriptors
  • Iterators and generators
  • Debugging techniques and tools

Frameworks & Regular Expressions

  • Introduction to Python frameworks
  • Basics of Regular Expressions (regex)
  • Pattern matching and text processing
  • Practical regex use cases

Development & Notebook Tools

  • Jupyter Notebook fundamentals
  • Markdown and magic commands
  • Google Colab workflow
  • Version control basics with Git

Python Libraries for Data Analysis

  • NumPy arrays and operations
  • Pandas Series and DataFrames
  • Data cleaning and transformation
  • Handling missing data

Data Visualization

  • Visualization principles
  • Matplotlib basics
  • Seaborn for statistical plots
  • Interactive visualization with Plotly and Cufflinks

Exploratory Data Analysis (EDA)

  • Data understanding and summarization
  • Univariate and bivariate analysis
  • Correlation and feature insights
  • EDA case studies

Data Analytics using PandasAI

  • Introduction to PandasAI
  • Natural language queries on datasets
  • Data insights using AI-assisted analysis

AI Assistants & Productivity Tools

  • Anaconda AI Assistant overview
  • Gemini AI integration concepts
  • Responsible AI usage
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  • Introduction To Pydantic
  • Pydantic Practical Implementation
  • Building Important Components of Langchain
  • Building GENAI Apps
  • Understanding Retrievers And Chains
  • Introduction To Ollama And Set Up
  • Simple CenAl App Using Olama
  • Tracking GENAI App Using Langsmith
  • Getting Started With Langchain And Open Al Creating Virtual Environment Important Components Of LangChain Data Ingestion With Documents Loaders Recursive Character Text Splitter
  • Character Text Spitter With Langchain HTML Header Text Splitter
  • Recursive JsonText Splitter
  • Introduction To OPENAI Embeddings
  • Ollama Embeddings
  • HuggingFace Embeddings
  • Vector Stores - FAISS
  • Vector Store And Retriever-Chroma DB
  • Getting Started With Open Source Models Uing Groq API Building LLM Prompt And Str Output Parser Chain With LCEL Deploy Langserve Runnable And Chains As API
  • Working With Prompt Template And Message Chat History Using Lang-chain
  •  
  • Reading and writing files
  • Working with CSV, TXT, and JSON files
  • File modes and file pointers
  • Context managers (with statement)
  • Getting Started Lang Graph Application Creating The Environment
  • Setting Up OpenAI API Key
  • Setting Up CROQ API Kay
  • Setting Up LangSmith API Key
  • Developing A Simple Graph or Workflow Using Lang-Graph Buliding Nodes And Edges
  • Building Simple Graph StateGraph And Graph Compiling Developing LLM Powered Simple Chatbot Using LangGraph
  • Overview of LangGraph and AI agent workflows
  • nterface of LangGraph Studio
  • Creating and visualizing agent workflows
  • Tracing workflows in LangSmith
  • Monitoring prompts, outputs, and errors
  • Debugging nodes and prompts
  • Improving workflow performance
  • Control vs autonomy
  • Single task vs multi-step goal completion
  • Introduction to Python frameworks
  • Basics of Regular Expressions (regex)
  • Pattern matching and text processing
  • Practical regex use cases
  • Jupyter Notebook fundamentals
  • Markdown and magic commands
  • Google Colab workflow
  • Version control basics with Git
  • NumPy arrays and operations
  • Pandas Series and DataFrames
  • Data cleaning and transformation
  • Handling missing data
  • Visualization principles
  • Matplotlib basics
  • Seaborn for statistical plots
  • Interactive visualization with Plotly and Cufflinks
  • Data understanding and summarization
  • Univariate and bivariate analysis
  • Correlation and feature insights
  • EDA case studies
  • Introduction to PandasAI
  • Natural language queries on datasets
  • Data insights using AI-assisted analysis
  • Anaconda AI Assistant overview
  • Gemini AI integration concepts
  • Responsible AI usage
  • Introduction to Generative AI
  • Using Python with GenAI APIs
  • Prompt engineering basics
  • Simple GenAI-powered applications
  • End-to-end Python project
  • Data analysis and visualization
  • Documentation and presentation
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Free consulting from our expert

Our Process

(Any One Module)
AI with Python or AI with Adv Excel or AI with Power BI or AI with MySQL

50% OFF

₹ 30,000/-  ₹ 14,900/-
2 Installments:

₹ 7,200/- (15 days gap)

Down Payment:

₹ 9,900/-

(Any Two Modules)
AI with Python or AI with Adv Excel or AI with Power BI or AI with MySQL

50% OFF

₹ 40,000/-  ₹ 19,900/-
2 Installments:

₹ 9,700/- (15 days gap)

Down Payment:

₹ 14,900/-

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Kuldeepnath Chouhan

Great course for beginners! Covers Python, data analysis, and machine learning with clear explanations and hands-on projects. Instructors are engaging, and the course structure is well-organized. A few sections could use more depth or updated content, but overall, it's a solid starting point for anyone interested in data science.

Bhagyashri Malpure

I recently completed the MySQL module at Gamaka AI Pune under Gary S, Anjali C ,Rutuja and Vaishanvi. The course offered a strong foundation in SQL fundamentals—joins, subqueries, transactions—and was paired with practical queries that mimicked real-world scenarios. The trainer was extremely patient and methodical when troubleshooting my errors, guiding me step-by-step through logic issues and syntax corrections. I appreciated the detailed explanations and personalized feedback on how to optimize queries effectively.

Rohan Desai

Gamaka-AI training institute is the right place to start your journey in Python. My experience with this course is really amazing though I didn't knew any of the basics of python..Mahesh sir and staff really helps to understand the topics easily.They provide interactive sessions, assignments, good study material and projects which really becomes of great help to boost your carrier.

Shubham Nikhumb

I Enrolled in a basic #python course, learning is great, covering all the basics and deep concepts with examples and assignments. Staff is highly experienced and attentive.

Devyani Mahlley

I have enrolled in Data and Business Analystics course and it has been an axing experience . The staff is very well versed in teaching the technologies and they also are very helpful. There are assignments and projects all of which are prepared under careful guidance and also I have a hands on experience on all software’s and tools . The teachers help in resolving doubts also they provide recorded lectures and pdfs for study and revisions . The material staff and also the support from every aspect is amazing . There is continuous and clear support from everyone . Thank you Gamaka for an amazing experience

Course Certificate

Upon successful completion of this data science course, you’ll earn a Certificate. The certificate adds the required weight in any portfolio.

Internship Certificate

This certificate will be issued to those pursuing internships with our development team or clients with whom we have tie-ups. Data Science Internship gives opportunity to learn from professionals, gain practical experience in this field, and build a robust professional network.

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High Demand

The demand for skilled data science professionals is booming across all sectors. Data scientists are well-compensated, and the field offers a multitude of exciting career paths. If you’re passionate about problem-solving, enjoy working with data, and have an analytical mind, then data science could be the perfect career choice for you.

WHY PURSUE A DATA SCIENCE CAREER
Who can take this course

This program is designed for beginners with no prior coding experience. We’ll provide a solid foundation in Python, making it suitable for anyone who wants to:

  • Launch a career in Python programming.
  • Enhance their skillset for data science, data analytics & gen ai.
  • Automate tasks and improve workflow efficiency.
  • Learn a versatile and powerful programming language.
Hands-on Projects & Internship

Gain practical experience by real-world projects and participating in an internship.

Expert Instructors

Learn from experienced programmers who will guide you through the fundamentals of Python and help you master its applications.

Industry Based Curriculum

Our curriculum is designed to equip you with the most sought-after Python skills in today’s job market.

100% Placement

We provide guidance and resources to help you launch your Python programming career, including resume building and interview preparation.

Real World Case Studies

Immerse yourself in real-world scenarios by exploring how Python is applied in various industries.

Extensive coverage on AI Tools

Use AI to clean, transform, and organize data efficiently. Saves time spent on repetitive data tasks.

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Free consulting from our expert

Take First Step Towards
Your IT Dream Today