Master Program in Pune with 100% Placement Assistance
Industry-based, job-oriented, hands-on interactive training with real-time projects. Learn from working IT professionals with 16+ years of experience.
No-cost EMI available
Best Master program in Pune by a Placement-Oriented Software Training Institute with Certification & Placement Assistance
A Data Scientist with Gen AI and Agentic AI collects and analyzes data, builds predictive models, and creates intelligent AI solutions. They develop Gen AI features like automation and content generation, and design Agentic AI systems that can plan tasks and take actions independently. Their work helps businesses make faster, smarter, and data-driven decisions.
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
- 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
- Python debugger
- Timing your code
- Regular Expressions
- StringIO
- Python decorators
- Python generators
- Python inbuilt modules
- Install packages on Python
- Introduction to pip, easy 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 Pandas
- Missing data
- Groupby
- 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
- 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
- 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
- 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
- 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
- Linearly separable data
- Non-linearly separable data
- SVM project with telecom dataset to predict the users portability
- 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
- K-means clustering intuition
- Implementation of K-means with Python using mall customers data to implement clusters on the basis of spending and income
- Hierarchical clustering intuition
- Implementation of Hierarchical clustering with Python
- A priori theory and explanation
- Market basket analysis
- Implementation of Apriori
- Evaluation of association learning
- POC – To make a model to predict the relationship between frequently bought products together on the given dataset from a supermarket
- 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 we 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 and implementation
- Commit and rollback concept in SQL
- CRUD operations on database
- REST principles and connectivity to databases
- Creating a 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) and 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 and 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)
- Mathematical fundamentals required for RAG: Cosine Similarity
- Softmax
- Euclidean Distance
- Dot Product
- Probability
- Similarity Vector Operations
- LLM (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
- Data Chunking and Indexing
- Vector
- Retrieval Methods
- 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 8 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
Book Your Seat Today!
Start your journey with just ₹5,000. Watch a free demo first — pay the rest only after you're confident. No-cost installments available.
Training to Placement Journey
From your first session to landing your dream job — every step mapped out.
What Our Students Say
2,100+ verified Google reviews from real students
Our alumni works here
Join thousands of successful professionals
Find Us in Pune
Head Office at Aundh — also available online across India
Book Free Demo
Fill your details and our counselor will contact you
Master Program 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]
Locations Offered :
Master Program course viman nagar, Master Program course Training in kalyan nagar, Master Program Training in magarpetta, Master Program Training in pimpri chinchwad, Master Program Classes in yerwada, Master Program Classes in kharadi, Master Program Classes in vishrantwadi, Master Program Classes in deccan, Master Program course in Katraj, Master Program Training in warje, Master Program Certification Training in bavdhan, Master Program Certification in boat club road, Master Program Certification in model colony, Master Program Training in pune, Master Program Course in pune.