Data Science Course in Pune with Generative AI (Gen AI) & Agentic AI
Industry-based, job-oriented, hands-on interactive training with real-time projects. Learn from working IT professionals with 16+ years of experience.
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No-cost EMI available
Build a future-ready career in Data Science training in Pune Integrated with Generative AI and Agentic AI
Are you looking for a Generative AI (Gen AI) and Agentic AI associated Data Science Course near you in Pune, Pimpri-Chinchwad or Balewadi-Baner, a "near me" classroom, or online training?
Technogeeks —- hours of interactive data science training course in pune with AI combines industry-based, job-oriented, hands-on, interactive training with —- hours of assignments and —- hours of real-time data science projects., Machine Learning, Generative AI, and Agentic AI, with full source code access.
Learn online/offline data science Course Training In Aundh Pune from working IT professionals with 16+ years of Data Science, Machine Learning, AI, and Data Engineering, who guide you through real-world AI and data analytics projects.
Top Data Science classes from Technogeeks Data Science Training Institute covers Python Programming & Libraries (NumPy, Pandas, Matplotlib, Seaborn), Machine Learning & Deep Learning, Generative AI & LLM tools, Agentic AI for autonomous workflows, Data Analytics & Visualization (Tableau, Power BI), NLP, SQL & REST API, and more.
The Best Data Science Certification Course In Pune with Gen AI is designed for both beginners and experienced working professionals.
You will learn Python libraries for data science including Matplotlib, Seaborn, and for data analysis, you will use Python libraries such as NumPy and Pandas. You will also use Tableau and Power BI tools for data visualization and analytics.
It covers all the essential topics in Data Science and AI training with GenAI & agents in Pune, such as data aggregation, exploratory data analysis (EDA), REST API, SQL, CRUD operations, Deep Learning, NLP, and more.
Hands-on projects in training help you apply your knowledge in real-world scenarios, including predictive ML models, Generative AI content creation, Agentic AI workflows, and AI-driven dashboards.
After you finish the Top Data Science Course with Python in Pune India with data analytics concepts, you will go through mock interviews, resume & CV preparation, and receive placement support, internship letters to become job-ready in AI, Data Science, Machine Learning, Generative AI, and Agentic AI roles.
Why Should You Choose a Data Science Course with Generative AI (Gen AI) and Agentic AI in 2026?
So basically choosing a Data Science Course with placement assistance in 2026 is a smart career step. As we know, Data Science jobs with AI are rising rapidly. If we see current job market analysis, in Data Science there are 60% job openings which ask for AI capabilities.
From 2020 AI related job openings will increase over 130% since. In Data and Analytics roles required AI skills. If I am talking about India, the demand for AI and data talent increased up to 45% in one year (2024–2025). And data science course with gen ai and agentic ai carrier best in 2026.
Is Data Science with Generative AI & Agentic AI a Good Career in 2026?
Data science with Gen AI and Agentic AI is a rapidly growing field, and the demand for data scientists with Generative AI and Agentic AI skills will increase significantly in 2026–2027. It is the best career option worldwide as every organization needs a data scientist professional with gen ai and agent ai to analyze data obtained from online sources and build AI-driven solutions.
An IBM analysis predicts that data science jobs are expected to grow by 28% with an estimated 2,900,000 job listings in this field by 2026–2027 based on employer salaries and job openings.
"The Data Science sector will be creating 10.5 million jobs by the year 2026–2027" - US Bureau of Labor Statistics . As various businesses are dealing with enormous amounts of data, which will keep growing significantly in the upcoming years, the need for proficient data scientists will also increase.
As per US Bureau of Labor Statistics , The high demand of data science profession, with a projected 35 percent growth in employment from 2024 to 2034. Over all 21,000 job openings will be available each year in this field. The demand for Data scientists is increasing at a faster rate, as employees get multiple opportunities in this data science profession.
Job Roles You Can Target after Doing Technogeeks AI Integrated Data Science Course
After doing technogeeks one in one data science AI associated course you can apply for roles like:
Why Should You Choose Technogeeks Data Science Classes with Generative AI & Agentic AI?
If you want to learn Data Science with Python and Gen AI, then you can choose Technogeeks - AI Training Institute In Pune.
Technogeeks provides Online Data Science Classes in Pune with Generative AI & Agentic AI with Placement Support which covers all core and advanced topics Data Science, including modern AI technologies used in the industry today. Our Instructors are having 16+ years of well real world experience in the Data Science, Machine Learning, Generative AI, Agentic AI, and Data Engineering.
Technogeek's Advanced Data Science Training with internship letters covers concepts like Data Visualization, Machine Learning, Deep Learning, Natural Language Processing (NLP) , Artificial Intelligence (AI) , Data Analytics , Python Programming .
In this Course, you will also learn various Python Libraries like NumPy, Pandas etc which are also useful in Data Analysis.
Our Data Science Course Training is designed for both beginners as well as experienced professionals.
Our well experienced Instructors provide good support to ensure our students would gain good knowledge and practical skills from the training.
Top Benefits of Joining Technogeeks Data Science Course in Pune
Course Curriculum
- What is Python and brief history
- Why Python and who use Python
- Discussion on Python 2 and 3 Unique
- Features of Python Discussion on various IDE's
- Demonstration of practical use cases
- Python use cases using data analysis
- Installing python Setting up Python environment for development
- Installation of Jupyter Notebook
- Setting up Python environment for development
- How to access python course material using Jupyter
- Write your first program in python
- Python built-in functions
- Number objects and operations Variable assignment and keywords
- String objects and operations Print formatting with strings
- List objects and operations
- Tuple objects and operations
- Dictionary objects and operations
- Sets and Boolean
- Object and data structures assessment test
- Introduction to Python statements
- If, elif and else statements
- Comparison operators
- Chained comparison operators
- What are loops
- While loops
- Useful operators
- List comprehensions
- Statement assessment test
- Game challenge
- Methods What are various types of functions
- Creating and calling user defined functions
- Function practice exercises
- Lambda Expressions
- Map and filter
- Nested statements and scope
- Args and kwargs
- Functions and methods assignment
- Milestone Project (Making tic-tac-toe in python)
- Process files using python
- Read/write and append file object
- File functions
- File pointer and operations
- Introduction to error handling
- Try, except and finally
- Python standard exceptions
- User defined exceptions
- Unit testing
- File and exceptions assignment
- Python inbuilt modules
- Creating UDM-User defined modules
- Modules Passing command line arguments
- Writing packages
- Define PYTHONPATH
- name and main
- Object oriented features Implement object oriented with Python
- Creating classes and objects
- Creating class attributes
- Creating methods in a class
- Inheritance
- Polymorphism
- Special methods for class
- Assignment – Creating a python script to replicate deposits and withdrawals in a bank with appropriate classes and UDFs
- Collections module Datetime
- Python debugger
- Timing your code
- Regular Expressions
- StringIO
- Python decorators
- Python generators
- Python inbuilt modules
- Install packages on python
- Introduction to pip, easy install
- Install Multithreading
- Multiprocessing
- Introduction in Excel
- Data Cleaning & Preparation Formatting & Conditional Formatting Lookup Function
- Analyzing data with Pivot Tables
- Charts
- Data Visualization/Dashboarding using excel
- Data Analysis using statistics
- Lookup Function
- Introduction to data analysis
- Data analysis and Artificial Intelligence Bridge and connecting it to database
- Introduction to Data Analysis libraries
- Data analysis introduction assignment challenge
- Why Data analysis?
- Introduction to Numpy arrays
- Creating and applying functions
- Numpy indexing and selection
- Numpy Operations
- Exercise and assignment challenge
- Introduction to Series Introduction to DataFrames Data manipulation with
- Missing data
- Group by
- Operations
- Data Input and Output
- Pandas in depth coding exercises
- Text data mining and processing Data mining applications in Data engineering
- File system integration with Pandas
- Excel integration with Pandas
- Operations on Excel using dataframe
- Data aggregation on Excel Data
- Data visualization using Excel data
- Milestone Project – 2
- Matplotlib
- Plotting using Matplotlib Plotting Numpy arrays
- Plotting using object-oriented approach
- Subplots using Matplotlib
- Exercise and assignment challenge
- Matplotlib attributes and functions
- Matplotlib exercises
- Comparison Between Power BI & Programming Based Data Visualization
- Need of Power BI Types Of Data Sources Supported By
- Power BI For Report Development
- How To Build Report & Dashboard in Power BI
- How To Build Charts In Power BI
- Data Visualization Using Power BI Features
- Types of Graphs
- Multiple graphs combinations
- Multiple file formats supported in Power BI
- Data analysis without visualization
- Data analysis with visualization
- Need of Mathematics for Data Science
- Exploratory data analysis (EDA)
- Numeric Variables
- Qualitative and Quantitative Analysis
- Types of Data Formats
- Measuring the Central Tendency – The Model
- Measuring Spread – Variance and Standard Deviation
- Euclidean Distance
- Understanding Parametric Tests
- Confidence Coefficient
- Understanding Machine Learning
- Scope of ML
- Supervised and Unsupervised learning
- Introduction to Artificial Intelligence
- Introduction to Machine Learning
- Need of Machine learning in forecasting
- Demand of forecasting analytics in current industrial trends
- Introduction to Machine Learning Algorithms Categories
- Linear Regression with Python
- Introduction to Regression
- Exercise on Linear Regression using sci-kit learn Library
- Project on Linear regression using USA HOUSING data
- Evaluation of Linear regression using python visualizations
- Practice project for Linear regression using advertisement data set to predict appropriate advertisements for users
- K- Nearest neighbours using Python
- Introduction to Regression
- Project on Logistic regression using Dogs and horses' dataset
- Getting the correct number of clusters
- Standard scaling problem
- Practice project on KNN algorithm
- Decision tree and Random forest with python
- Intuition behind Decision trees
- Implementation of decision tree using a real time dataset Ensemble learning
- Decision tree and random forest for regression
- Decision tree and random forest for classification
- Evaluation of the decision tree and random forest using different methods
- Practice project on decision tree and random forest using social network
- Data to predict if someone will purchase an item or not
- Support Vector Machines
- Linearly separable data
- Non-linearly separable data
- SVM project with telecom dataset to predict the users portability
- Principal Component Analysis
- Introduction to PCA Need for PCA
- Implementation to select a model on breast-cancer dataset
- Model evaluation
- Bias variance trade-off
- Accuracy paradox
- CAP curve analysis
- Introduction to Natural Language processing
- NLTK Python library
- Data stemming technique
- Data Vectorization
- Exercise on NLTK
- POC – Apply NLP techniques to understand reviews given by customers in a dataset and predict if a review is good/bad without human intervention
- Neural Network and Deep Learning
- What is TensorFlow?
- TensorFlow Installation
- TensorFlow basics
- TensorFlow with Contrib Learn
- TensorFlow Exercise
- Keras Basics
- Pipeline implementation using Keras
- MNIST implementation with Keras
- SQL Integration with Python
- Table operations in SQL using Python
- CRUD operations in SQL working on multiple tables using Python and SQL
- What is SQL?
- Why need SQL Integration with Python
- Data types in SQL
- DDL, DML, TCL sublanguages in SQL
- Significance and type of Joins in SQL
- Where clause in SQL
- Group by clause in SQL
- Create command in SQL
- Insert command in SQL
- Select command in SQL
- Select command variants in SQL
- Update command in SQL
- Delete command in SQL
- Drop command in SQL
- Truncate command in SQL
- REST principles
- Creating application endpoints
- Implementing endpoints
- Using Postman for API testing
- Python, Database and Front end integration concept, implementation
- Commit and rollback concept in SQL
- CRUD operations on database
- REST principles and connectivity to databases
- Web development API for login registers and connecting it to the database
- Deploying the API on a local server
- Cloud integration with AWS cloud computing
- Hadoop
- HDFS
- Hive
- ETL Development with Python Scripting in Pandas
- Project use cases Introduction
- Project Scenarios Project life cycle
- What is version controlling in project management
- What is GitHub
- Significance of GitHub in project management
- Code submission for testing and deployment
- Predictive analytics tools and techniques
- Project best practices
- Introduction to Artificial Intelligence (AI)
- Introduction to Machine learning (ML)
- Introduction to Neural networks (ANN), Deep Learning (DL)
- Introduction to Natural Language Processing (NLP)
- Traditional AI vs Generative AI
- Real-world applications of AI and GenAI
- Introduction to GenAI and Agentic AI
- What is Generative AI how it works
- Large Language Models (LLMs) overview
- Use cases: text, code
- Prompting and Prompt Engineering
- Types of prompts
- How to define effective prompts as user
- Multimodality: text, images
- RAG (Retrieval-Augmented Generation)
- Math metical fundamentals required for RAG (Cosine Similarity, Softmax, Euclidean Distance, Dot Product, Probability, Similarity Vector Operations)
- RLLM (Large Language Model) Training Process
- The Transformer Architecture
- Question answering from documentation using GenAI model with LLM
- Tokenization and Embeddings
- Vector Spaces
- Model Architectures
- Model Workflow: Pre-training, Fine-tuning, and Inference
- RAG Concept
- RAG Components: Data Chunking and Indexing, Vector, Retrieval Methods
- Model Adaptation and Evaluation: Fine-Tuning, Parameter-Efficient Fine-Tuning (PEFT)
- What is an AI Agent?
- Difference between GenAI and Agentic AI
- Agent vs. Chatbot
- The Agent Loop (Conceptual): Explanation of the Observe > plan > act > Reflect Cycle
- The ReAct Framework (Conceptual): Reasoning and Acting
- Real-life examples of AI agents
- Reasoning and Planning
- Tool use and API calling
- Agent Reasoning & Memory
- Frameworks (LangChain, LlamaIndex, CrewAI, LangGraph)
- Multi-Agent Systems
- Workflow/Orchestration Frameworks
- Agent Communication
- Agent Persistence, Monitoring, and Deployment
- Project 1: Resume builder using GenAI
- Project 2: Chatbot with memory (LangChain)
- Project 3: Travel assistant (fetches hotels/weather using API)
- Project 4: Financial data analysis using API
- Bias and fairness in AI
- Hallucinations
- Guardrails (safety in LLMs and agents)
- Careers and Future of GenAI + Agentic AI
Our trainers are experts in their fields. They simplify complex concepts for the students and make them easy to understand. They solve each and every type of student's query. Their teaching method is more focused on real-time examples, preparing the students for industry interviews. Students will have one-on-one coaching sessions with them so that they will be able to ask questions at any time.
Key Highlights of Our Trainers:
- Certified Professionals with Over 15+ Years of In-Depth Experience
- Imparted Knowledge to Over 2,000 Students Annually
- Demonstrated Strong Theoretical and Practical Expertise in Their Respective Domains
- Possess Expert-Level Subject Knowledge and Stay Current with Real-World Industry Applications
Why Choose Technogeeks?
Everything you need to launch your career in tech
Tools & Technologies You'll Master
23+ industry-standard tools covered in this program
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Training to Placement Journey
From your first session to landing your dream job — every step mapped out.
Frequently Asked Questions
Data Science is the term to be defined as the study of scientific methods, maths and statistics, programming concepts, multiple algorithms, advanced data analytics , Machine Learning, Artificial Intelligence, Big Data, Generative AI, Agentic AI, and Data-Driven Decision Making to extract valuable and trending insights from data. It includes the mechanism of collecting, analyzing and interpreting large amounts of data to extract the trending forms of data using AI Models, Predictive Analytics, Deep Learning, and Automation.
Data science with Generative AI and Agentic AI is essential. The reason behind this helps organisations in such a way like AI-driven insights, predictive analytics, automation, intelligent decision making, and real-time data processing. so businesses can make their performance best. This gives smart AI solutions, personalization, AI automation, data-driven strategies, chatbots, recommendation systems, and autonomous AI agents. By which efficiency increases. also manually working gets reduced.
Welcome to the complete course on Data Science, Machine Learning (ML), Generative AI (gen AI), and Agentic AI designed for today's industry needs! After training 3000+ students, we have created a structured roadmap to help you go from beginner to industry-ready AI professional using Python, Machine Learning (ML), LLMs, and AI Agents.
This industry ready data science with Gen AI program is designed for students who are new to Python and want to build a strong career in Data Science, Artificial Intelligence, and Generative AI (Gen AI). Today, the starting salary for Data Science & AI professionals in India ranges from ₹8 LPA to ₹15 LPA+, and we created this program to help learners build the most in-demand skills required in top companies.
In this technogeeks generative AI course with agentic AI in Hinjewadi, we teach a complete modern AI tech stack used by top companies like TCS, Infosys, Accenture, Capgemini, Wipro, Deloitte, and product-based AI startups. Our course combines real-world projects, industry case studies, and strong fundamentals so you not only learn tools but also understand why and how AI models work.
Programming & Core Technologies
- Python (Core + Advanced)
- SQL for Data Science
- Git & GitHub
- Python Environments & IDE
- Jupyter Notebook
- Google Colab
- Anaconda
- PyCharm
Data Analysis
- NumPy
- Pandas
- Understand and explore data using EDA
Data Visualization
- Matplotlib
- Seaborn
- Power BI
- Tableau
Machine Learning
- To predict continuous values - Linear Regression
- For classification problems - Logistic Regression
- K-Nearest Neighbors (KNN)
- For classification and prediction - Decision Tree
- Random Forest for improve prediction accuracy
- SVM
- PCA (Principal Component Analysis)
- Clustering Algorithms
Deep Learning
- TensorFlow
- Keras
- Neural Networks
Natural Language Processing
- NLTK
- Text Processing
- Sentiment Analysis
Generative AI & LLM
- Generative AI Fundamentals
- Large Language Models (LLMs)
- Prompt Engineering is asking AI the right way to get better answers.
- ChatGPT & AI Tools
- RAG (Retrieval Augmented Generation)
- Vector Databases & Embeddings
- AI Chatbot Development
Agentic AI
- AI Agents & Automation
- LangChain
- LlamaIndex
- CrewAI
- Multi-Agent Systems
- AI Workflow Automation
API & Deployment
- Flask
- REST API
- Postman
- Make a trained model using Model Deployment
- Cloud Deployment (AWS basics)
Nowadays in the technological and analytical world, nearly every industry utilizes data. As a data scientist, you will assist companies in analyzing data to help them make smart business choices. A Data Science course in Pune with Generative AI (Gen AI) and Agentic AI helps students learn complete technology from Python basics to Machine Learning, Deep Learning, and AI agents. Data Science is important for several reasons: it enables better decision-making by allowing organizations to make informed choices based on data, analytics, and modern AI tools.
The sectors which use data science include Marketing, Healthcare, Defense and Security, Natural Sciences, Engineering, Finance, Insurance, Political Policy, IT companies, startups, and digital tech industries. In today's digital world, companies are looking for professionals with skills in
Data science benefits businesses in many ways, which includes:
- Data science helps businesses understand their customers better, which leads to improved interactions and increased marketing or products using analytics and AI tools.
- By using data, organizations can quickly find customer demands and make better data-driven decisions.
- Data scientists study past data and trends to help companies understand consumer behavior and forecast market trends for improved strategies.
- In Data Science we mostly use techniques like Data Mining, Machine Learning, Deep Learning, Generative AI, Agentic AI, and Data Visualization, which enable better business decisions.
- A Data Science course in Pune with placement, real-time projects, and AI training covers a complete syllabus from programming to advanced AI development, making students industry-ready.
The important programming languages for data science that are necessary to excel in this Data Science field. These languages support skills in data analysis, statistical modeling, machine learning, and data visualization etc. this data science course in pune along with modern AI tools and frameworks.
1. Python
Python is popular in data science for its easy-to-read syntax, strong statistical tools, and extensive libraries for image, text, and data mining. For ex- Libraries like Pandas used for data analysis, NumPy for numerical tasks, SciPy for scientific computing, and Matplotlib for Data visualization. Python also we are using for Generative AI Development, LLM integration. Also for LangChain, API-based AI agents, and AI automation projects.
2. R
R is important in Data Science because it was created by statisticians and has a strong community and useful libraries. These libraries offer tools for data handling and analysis in fields like image processing, data manipulation, visualization, and machine learning. Also we are using R for advanced analytics and AI-driven statistical modeling within data science training programs.
3. SQL
SQL is a language used to manage data in databases, essential for data scientists to gain insights. They use SQL to retrieve data from databases such as SQLite, MySQL, PostgreSQL, Oracle, and Microsoft SQL Server. In AI-focused data science courses, SQL integrated with AI pipelines, data engineering.
4. MATLAB
MATLAB is a widely used programming language for mathematics, and also important for Data Science. It supports math modeling, image processing, and data analysis. MATLAB offers many functions for linear algebra and statistics. It also has built-in graphics for data visualization. Also used in research-based AI and deep learning experimentation.
5. Java
Java is a popular programming language in data science. Tools like Hive, Spark, and Hadoop are built using Java. Java knowledge is essential for Hadoop, as it works on the Java Virtual Machine (JVM). It also boasts various data science libraries like Weka, MLlib, Java-ML, and Deeplearning. We can use java for building scalable AI systems, big data pipelines, and enterprise AI applications.
In the Data Science field, there are many skills which are important to study and specialize in Data Science. These skills will help you to start learning in an efficient and well defined way. We can highlight the Data Science skills by considering the following points.
- Mathematics includes Calculus, probability, and linear algebra
- Programming Languages like Python, SQL, R
- Data Visualization
- Machine learning for solving complex problems and predicting the data
- Data Mining
- Cloud Computing
- Big Data
- Database Management System
- Generative AI & Agentic AI Skills
If you are committed to learn data science skills with AI, You can learn data science foundation skills in three months having full time or part time data science training following a well structured learning plan. You'll mostly cover the core concepts which are Machine Learning, Data Analysis, Python etc.
In India, the salary for a Data Scientist with Generative AI and Agentic AI skills ranges between ₹10 Lakhs and ₹40 Lakhs, varying depending on factors such as experience, skill set, and the employing organization. Professionals with GenAI, LLMs, Prompt Engineering and AI Agents are getting higher packages in today's market (2026).
Here is the more details of Data Scientist Salary:
- Entry-level/Junior level salary ranges between 4.0 Lakhs to 18 Lakhs annually. (Higher with GenAI & Agentic AI skills)
- Midlevel salaries Data Scientist salary range from 8 Lakhs to 28 Lakhs per year. (AI + GenAI demand growing fast)
- Senior-level salaries range from 18 to 40+ Lakhs annually. (LLM & AI Agent experience adds value)
Salaries can also vary as per their location. For example, according to Glassdoor recent industry reports (2026):
- Bangalore city: a Data Scientist with GenAI & Agentic AI Salary ranges from 15L to 40L+ per year.
- Chennai city: salary ranges around 12 Lakhs to 22 Lakhs per year.
- Pune city: Data Scientist with AI/GenAI skills Salary is around 12 Lakhs to 25 Lakhs per annum.
According to AmbitionBox latest reports, a Data Scientist's salary can range from 4.6 Lakhs to 30.0 Lakhs per year, and with Generative AI & Agentic AI skills, salaries are going higher in today's job market.
Business Intelligence (BI)
So basically in Business Intelligence we deal with dashboards, historical reports, KPI tracking. and using tools - Power BI, Excel to understand past business data and business performance For Further Changes.
Data Analytics
In the Data analytics field we mainly concentrate on cleaning the data, analyzing trends, and creating different reports. and also finding important patterns for that we use Python, SQL, and visualization tools.
Data Science Along with Gen AI and Agentic AI
In this Professional data science training from Wakad you will learn advanced topics like - predictive modeling, machine learning, Generative AI, and AI Agents in a practical way. Students will learn how to create smart systems such as chatbots, AI automation tools, forecasting models, and real-world AI applications. After doing this you can achieve roles like Data Scientist, AI Engineer, and GenAI Developer jobs.
Technogeeks is a top choice for the best Data Science classes in Pune with AI and machine learning. We offer an industry-based curriculum that includes Python, Machine Learning, Artificial Intelligence (AI), Generative AI, Agentic AI, SQL, Power BI, LLMs, Prompt Engineering, and real-world AI projects.
Our hands-on training, real-time projects, and experienced mentors from major companies set us apart. You can also go through our Google Reviews . We provide strong placement assistance, resume building, and interview preparation.
Technogeeks is one of the best institutes for Data Science with GenAI & Agentic AI in Pune, as we prepare students, professionals, and career changers for successful job placement in modern AI, Data Science, and Generative AI roles.
Choosing a career in data science certification with an AI agent development program can be challenging at the start, but if you are ready to learn and practice regularly, it becomes easier. With proper guidance and hands-on training in Python, Machine Learning, LLMs, Prompt Engineering, and AI Agents, you can build strong skills step by step.
If you enjoy problem solving, basic mathematics, and learning new technology, then learning Data Science with GenAI & Agentic AI becomes easier and more interesting. With practice, projects, and real-world use cases, you can build a successful career in modern AI and Data Science.
Like our other IT training courses, data science is taught through Google Classroom so that you can take it in a classroom in Pune as well as in an online mode.
Since its inception, Technogeeks has helped many working professionals and freshers start their careers from scratch and transform their dream job into reality in Data Science, Generative AI, and Agentic AI roles.
You can check our official telegram channel for the job openings provided by us and the recent months' placement statistics, including the latest placements in Data Science, AI, GenAI, and AI-Agent based roles.
Data science training or AI agent development course from Technogeeks is designed so that you can start from scratch. Learn the programming logic before hands-on machine learning or any other complex module, along with Generative AI, LLM basics, Prompt Engineering, and Agentic AI concepts.
We helped people, even those who had never worked with programming languages, understand the basic concepts first and then move into AI, GenAI, and real-world projects.
- Absolute Beginners
- Beginner Python developers curious about Machine Learning, Generative AI, and AI Agents
- Any Under-Graduates, Graduates, Post Graduate and Master's holders, etc
This course covers all the basics of becoming a data scientist. Hence even if you don't have prior experience in the data science field, you can still enroll and become proficient in Data Science, Generative AI, and Agentic AI development.
In the 21st century, the new oil is "Data," and now AI and Generative AI are the engines that use this data.
According to Harvard Business Review, Data Scientist is the trendiest job of the 21st century, and today GenAI and AI-Agent skills are among the fastest-growing tech skills globally.
As internet use became widespread, data generation exploded, and organizations now want to use AI, LLMs, and automation agents to make data-driven decisions.
This high demand for Data Science + GenAI skills has made it a popular job choice for graduates and professionals.
Calculus, linear algebra, and statistics are core math areas.
The good news is that statistics is the only math required for most data science and GenAI application-based roles.
Core skills:
Python, Machine Learning, Statistics, Data Visualization, Scikit-learn, Business understanding, communication, Math, SQL, Critical Thinking, ETL, Excel.
Emerging skills:
Generative AI, Prompt Engineering, LLMs, LangChain, Agentic AI, Deep Learning, TensorFlow, NLP, PyTorch, Big Data tools, Vector Databases, RAG, Cloud AI tools.
PyCharm and Jupyter Notebook are popular choices for Python in data science and GenAI development.
Jupyter Lab is favored for interactive coding, data analysis, and LLM/AI experiments.
You will do your Assignments/Case Studies using Jupyter Notebook and PyCharm, along with GenAI tools, APIs, and AI agent frameworks.
Access details will be shared during class.
For any doubt, the Technogeeks support team will assist you. We also use Google Colab for AI and LLM-based practicals.
The IT experts have created and outlined the Job Oriented Data Science with Generative AI & Agentic AI training to help you land your dream jobs.
We provide placement assistance for roles like Data Scientist, AI Engineer, GenAI Developer, and ML Engineer.
You will learn through live classes from top industry experts in Pune and online instructor-led training.
All modules are meant for professional upskilling to support AI, Data Science, and GenAI roles, which are in high demand in today's market.
Offline and Online Data Science Course with Placement Support will ensure job interview preparation with mock interviews and career guidance.
Data science with Gen AI & Agentic AI course fees in Pune is ₹70,000.
You can pay in two installments, inclusive of enrollment fee of ₹5000 and GST.
If you're looking for data science classes near you in Pune India, one of the top-rated is:
Technogeeks – Best IT training institute in Pune for Data Science with Gen AI & Agentic AI
Address:
Plot No. 7, 4th Floor, Commonwealth Society,
Opposite of Aundh Telephone Exchange, Near Gaikwad Petrol Pump,
Aundh, Pune – 411007
Our Cyber Security institute In Pune also offers online Ethical Hacking Master Training so you can learn from anywhere in Pune or nearby areas.
There are many job opportunities in Pune for Data Science, Generative AI, and Agentic AI roles. Pune is a major IT and manufacturing hub. Every year, many startups, SMEs, and MNCs hire professionals for:
- Data Scientist
- Machine Learning Engineer
- AI Engineer
- Generative AI Developer
- Prompt Engineer
- LLM Engineer
- Data Analyst
- AI Research Associate
Some of the top companies hiring in Pune include:
- Persistent Systems
- Wipro Limited
- Tech Mahindra
- Tata Consultancy Services
- Cognizant
- Zensar Technologies
- Capgemini
- HCL Technologies
- Mphasis
Because AI and GenAI are growing very fast, companies are actively looking for professionals who understand:
- Machine Learning
- Deep Learning
- Large Language Models (LLMs)
- RAG systems
- AI Agents
- Automation using AI
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Data Science with Generative AI & Agentic AI course Certification Training locations in Pune :
Bajirao Road [411002], Yerwada [411006], Kasba Peth [411011], Dhanori [411015], Pune City [411022], Hadapsar S.O [411028], Airport [411032], Afmc [411040], Karve Road [410038], Ammunition Factory Khadki [411003], Aundh [411007], Dapodi [411012], Gokhalenagar [411016], Kudje [411023], Kothrud [411029], Mundhva [411036], Tingre Nagar [411000], A.R. Shala [411004], Baner Road [411004], Magarpatta City [411013], Botanical Garden [411020], Khadakwasla [411024], Lokmanyanagar [411030], Bibvewadi [411037], Bhavani Peth [411042], Dhayari [411041], Dhankawadi [411043], C D A O [411001], Shivajinagar [411005], Parvati [411009], 9 Drd [411014], Armament [411021], Donje [411025], Bopkhel [411031], Bhusari Colony [411038], Haveli [411045], Jambhulwadi [411046], Lohogaon [411047], Khondhwa [411048], Anandnagar [411051], Navsahyadri [411052], Chatursringi [411053], Gokhalenagar [411055], Warje [411058], Mohamadwadi Kadvasti [411060], Janaki Nagar [411066], Aundh [411067], Pimpri Chinchwad [411078], Nanded [411230], Gondhale Nagar [412029], Sathe Nagar [412047], Alandi Devachi [412105], Ambarvet [412115], Ashtapur [412207], Manjari Farm [412307], Phursungi [412308], Viman Nagar 411014, Shaniwar Peth [413337], Wakad [411057], Kothrud [411038], Shivaji Nagar [411005], FC Road [411004], Hadapsar [411028], Balewadi [411045], Baner [411045], Pimple Saudagar [411027], PCMC (Pimpri Chinchwad) [411018]
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