Data Scientist Course with Gen AI
Get an industry grade certificate to become a successful data scientist
OTP Verification
Please enter the 4-digit code sent to
Program Highlights

Learn to leverage generative AI in data science applications.

Work on real-world projects from leading companies.

Learn from industry professionals with years of experience

Earn a industry recognized certification upon completion
Our Program Benefits

Curriculum
Topic
- what is AI/ML
- History of AI/ML
- Maths & Stats for AI/ML
- Navigating AI/ML lifestyle
- Undestanding with practical use of Github Copilot, ChatGPT, Windsurf, Cursor, Replit, Claude AI, Meta AI
Topic
- Introduction of Analytics
- Types of Analytics, Data Analytics
- Data Science, Data Engineering
- Introduction of Excel and its fundamentals
- Advanced Excel, Power BI
Topic
- Introduction of Python,
- Data types, Variables, Operators, Data Structures
- Conditional Loops
- Functions, File Handling, Exception Handling
- Numpy & Pandas, OOPs Concepts
Topic
- Introduction of EDA
- Data Visualization, Data Cleaning
- Descriptive Statistics
- Outlier Detection
Topic
- Probability, Statisctics, Vector Metrices, Optimization
Topic
- introduction to Regression , Decsion Trees, Random Forest, K- nearest Neighbors
Topic
- K-means clustering Algorithm
- Dimensionality Reduction
- Anamoly Detection
Topic
- Bagging & Boosting
- Model Tuning & Hyperparameter Tuning
Topic
- Introduction to NN, NNs(CNN, RNN)
Topic
- Computer vision
- Image Processing
- Model Deployment
- NLP
- Word Embeddings
- LLMs
- Prompt Engineering
- Recommendation Systems
- SQLx
Topic
- Introduction to Gen AI
- LLMs
- Transformers
- Prompt Engineering
- Open AI API's, Hugging Face
- Integration of AI Agents, Crew AI
- VectorDB, GuardRails
- RAG pipelines
- MCP Servers, Development of AI/ML Models
Topic
- what is AI/ML
- History of AI/ML
- Maths & Stats for AI/ML
- Navigating AI/ML lifestyle
- Undestanding with practical use of Github Copilot, ChatGPT, Windsurf, Cursor, Replit, Claude AI, Meta AI
- Introduction of Analytics
- Types of Analytics, Data Analytics
- Data Science, Data Engineering
- Introduction of Excel and its fundamentals
- Advanced Excel, Power BI
- Introduction of Python,
- Data types, Variables, Operators, Data Structures
- Conditional Loops
- Functions, File Handling, Exception Handling
- Numpy & Pandas, OOPs Concepts
- Introduction of EDA
- Data Visualization, Data Cleaning
- Descriptive Statistics
- Outlier Detection
- Probability, Statisctics, Vector Metrices, Optimization
- introduction to Regression , Decsion Trees, Random Forest, K- nearest Neighbors
- K-means clustering Algorithm
- Dimensionality Reduction
- Anamoly Detection
- Bagging & Boosting
- Model Tuning & Hyperparameter Tuning
- Introduction to NN, NNs(CNN, RNN)
- Computer vision
- Image Processing
- Model Deployment
- NLP
- Word Embeddings
- LLMs
- Prompt Engineering
- Recommendation Systems
- SQLx
- Introduction to Gen AI
- LLMs
- Transformers
- Prompt Engineering
- Open AI API's, Hugging Face
- Integration of AI Agents, Crew AI
- VectorDB, GuardRails
- RAG pipelines
- MCP Servers, Development of AI/ML Models
Skills you will acquire
Python
Pandas
Scikit-Learn
Matplotlib
MySQL
Keras
Django
VS Code
XGBoost
Github-Copilot
Tensorflow
Jupyter Notebook
Pytorch
OpenCV
Numpy
Google Colab
AWS
Excel
Chatgpt
Gain a Job Ready Certificate
- Prove your skills with a certification that matches 1 year of real-world experience.
- Show employers you're as skilled as a 1-year-experienced professional.

Embraces AI
Finishes tasks and projects faster using AI tools
Learns better with AI-based platforms
Builds trending skills companies want
Uses AI to handle routine tasks

Keeps learning new AI skills
Works smarter with AI
Feels less stressed with AI support
Has more time for creativity
Avoids AI
Takes longer without AI help
Misses out on smart tools
Harder to gain trending skills
Does everything manually

Falls behind AI users
Works harder, not smarter
Feels more pressure
Has less personal time



Most Popular Questions About Our Programs
It can be challenging, but starting with basics and praticing regularly can makes it manageable.
Once you inquire about our IT courses, our career counsellors will connect with you at the nearest branch to provide personalized counselling on gen ai courses like our data scientist course, data analyst course, front end web developer course, backend developer course, and full stack developer course.
- 1:1 Focused Training
- DSA
- Resume Building
- LinkedIn Profile Optimisation
- Github Portfolio Building
- Problem Solving Skills
- Logical Thinking
- Mock Interviews
- Confidence Building
Certainly! We offer highly affordable EMI options to ensure a seamless process for you. Our NBFC partners provide a variety of convenient payment choices, including zero-interest EMIs for up to 12 months or extended repayment plans of 24 and 36 months.
After completing any program with Techpaathshala, you will receive placement assistance and training on how to succeed in interviews. Our dedicated placement team will actively work to support your placement efforts.
Enrolling in Techpaathshala has been made easier. Simply choose the program you want, and you will see the option to enrol. You can also request a callback from us, and we'll guide you through the enrollment process.
This program is open to anyone aspiring to pursue a career in the field of technology.
Try not to miss the lecture, but if you do, you can always catch up by asking the mentor for any important points you missed or for a backup lecture.
