Looking for Data Science With Gen AI Training Hyderabad? Learn Data Science with Gen AI through practical training, real-world projects and expert guidance. Raise Tech helps students, freshers and working professionals build practical data science skills and use modern AI tools with confidence.
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Learn Data Science with Gen AI Training in Hyderabad through practical training, real-world projects and expert guidance. Our course helps learners understand data science concepts and use modern AI tools in their work. In addition, the training focuses on practical learning so students can apply their skills with greater confidence.
First, learners build a strong foundation in Python, statistics and data analysis. Next, they learn machine learning, data visualization and predictive analytics. These skills help learners understand data, identify patterns and make better decisions.
In addition, the course introduces Generative AI and its role in modern data analysis. Learners discover how AI tools can support data exploration, simplify tasks and improve everyday workflows. As a result, they gain a better understanding of how data science and AI work together.
Through hands-on exercises and real-world projects, learners apply what they have learned to practical problems. Instead of learning only through theory, students work with data and develop solutions for different scenarios.
Furthermore, trainers provide guidance throughout the learning process. They help learners understand difficult concepts, improve their approach and solve practical challenges. Therefore, students can develop technical knowledge as well as problem-solving skills.
The program is suitable for students, freshers, working professionals and career switchers in Hyderabad. Beginners can learn the fundamentals step by step. At the same time, working professionals can upgrade their existing skills and learn modern AI technologies.
Moreover, the training can help learners prepare for data-driven roles across different industries. Whether you are starting your career or planning a career change, the structured learning approach provides a clear path to develop relevant skills.
Learners also gain exposure to important tools and technologies used across the data science workflow. For example, they work with data preparation, analysis, visualization, machine learning and AI-assisted solutions.
As they progress, learners connect these concepts through practical exercises and projects. This approach makes it easier to understand how different tools are used together in real-world situations.
Finally, the combination of practical projects, expert guidance and modern technology helps learners build confidence. The training connects fundamental concepts with practical applications, making the learning experience useful for both beginners and professionals.
Whether your goal is to start a career in data science, move into a new role or improve your existing technical skills, this training provides a practical way to learn data science and Generative AI.
Our training focuses on learning by doing. Instead of relying only on theory, learners work with practical examples and real-world projects. Therefore, they can better understand how data science applies to business problems.
Along with data science concepts, learners explore modern AI tools for data preparation, analysis and model development. Furthermore, practical assignments help them strengthen their skills as they progress through the course.
Moreover, learners gain experience with important data science methods and AI-based workflows. This experience helps them connect classroom learning with real-world tasks. By the end of the training, learners have a stronger understanding of Data Science and Generative AI.
Most importantly, the course gives learners practical experience that can support their career goals.
Traditional Data Science skills remain important, but modern data professionals increasingly work alongside AI-powered tools and Generative AI systems.
Raise Tech integrates AI into the Data Science learning journey rather than treating Generative AI as a separate topic. Learners get exposure to modern workflows involving LLMs, embeddings, RAG and AI-assisted development.
This approach helps you understand both:
Data Science → How to collect, clean, analyze and model data.
Generative AI → How to use modern AI models and intelligent workflows to build useful applications.
By combining these skills, learners can develop a broader understanding of today’s data and AI ecosystem.Module 01
Start with Python fundamentals and gradually move toward practical Data Science programming.
Module 02
Learn how to work with databases and extract meaningful information from structured data.
Module 03
Statistics, probability, data cleaning, EDA and meaningful data insights.
Module 04
Regression, classification, clustering, feature engineering and model evaluation.
Module 05
Neural networks, deep learning fundamentals, CNNs, RNNs and modern AI concepts.
Module 06
Master text processing, embeddings, sentiment analysis, text classification and real-world NLP applications using Python and modern AI techniques.
Module 07
Prompt engineering, LLMs, embeddings, vector databases, RAG and AI applications.
Module 08
Learn how to communicate insights effectively using visualization and dashboarding tools.
Module 09
End-to-end projects, APIs, dashboards, AI applications, deployment and portfolio building.
At Raise Tech, learning is focused on building rather than simply watching lectures. The current Raise Tech Data Science program emphasizes project-based learning and portfolio development.
Detect anomalous transactions in real time with imbalanced-data techniques.
Python
XGBoost
SMOTE
Personalised recommendations using collaborative filtering and embeddings.
Pandas
Surprise
FAISS
Cluster customers by behaviour and value to drive retention campaigns.
K-Means
PCA
Plotly
Ground an LLM in your own documents with a retrieval pipeline.
LangChain
Pinecone
OpenAI
Time-series forecasting served through an interactive live dashboard.
Prophet
Streamlit
SQL
Production-grade regression pipeline deployed as a REST API.
Scikit-learn
FastAPI
Docker
Raise Tech provides flexible learning options for learners with different schedules and locations.
Our online learning option is suitable for students and working professionals who prefer learning remotely.
Benefits include:
Learners who prefer classroom-based learning can choose offline training in Hyderabad.
Classroom learning provides an environment for:
Choose the learning format that best fits your schedule and career goals.
Every student gets full access to the RaiseTech Learning Management System.
Structured notes, cheat sheets and datasets for every session.
A verifiable certificate you can add to LinkedIn and your CV.
One-to-one interview practice with detailed written feedback.
Track progress with assessments modelled on real hiring rounds.
Sit in on a live session before you decide to enrol.
Revisit recordings, notes and updates long after you finish.
Learning technical skills is only one part of building a career. At Raise Tech, the learning journey also includes career-focused preparation.
Our placement assistance can help learners prepare for the recruitment process through:
The goal is to help learners become better prepared for opportunities such as Data Analyst, Junior Data Scientist, Machine Learning Engineer and AI Application Developer, depending on their skills, projects and experience. Raise Tech currently lists Junior Data Scientist, ML Engineer and AI Application Developer among the roles its Data Science track targets.
Important: Placement assistance supports your job search and interview preparation; employment depends on individual skills, performance, eligibility and employer requirements.
This course can be suitable for:
You do not necessarily need to be an expert in Data Science before starting. The learning path can begin with fundamentals and gradually progress toward advanced concepts.
After developing the required skills and practical experience, learners can explore career paths such as:
Career opportunities depend on your educational background, technical skills, project portfolio, experience and interview performance.
Build practical Data Science skills and learn how Generative AI is changing the way professionals work with data.
Whether you are a beginner, student, graduate, working professional or career switcher, Raise Tech can help you build a structured learning path covering Python, SQL, Statistics, Machine Learning, Deep Learning, Data Visualization and Generative AI.
Join Data Science with Gen AI Training in Hyderabad at Raise Tech and start building the skills, projects and portfolio needed for the modern AI-driven workplace.
