4.9★
AI-InfusedData Science with Agentic AI Course in Dehradun
15 MonthsOnline + Classroom
Next batch 9 Nov 2026
Free LMS · 1 yrPlacement supportNo-cost EMI
Best SellingAI-InfusedAdvanced Data Science
Data Science Course in Dehradun with Gen AI
Brillica Services offers a comprehensive 12-month Advanced Data Science Course in Dehradun with Gen AI, designed for students and professionals looking to build a successful career in data science. Learn the latest tools and technologies through hands-on projects, expert guidance, and practical training. Our Data Science training in Dehradun helps you develop real-world skills and gain industry-ready experience for better career opportunities.
Duration12 Months
ModeOffline
Next batch9 Nov 2026
PaymentNo-cost EMI
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Highest package offered ₹15 LPA4.8★Google rating4.9★Justdial rating20,000+ learners trained2,000+ placed
Program highlights
Build Industry-Ready Skills with Practical Training
12 MonthsStructured classroom training
DehradunLearn in person
1 yearFree BrillicaNext LMS access
15PDP & interview sessions
100%Placement assistance
0%No-cost EMI available
AI-Infused Courses
Build industry-relevant skills with modern AI tools and technologies integrated into your learning experience.
Free LMS for 1 Year
Access class recordings, study notes, quizzes, assignments, and projects on BrillicaNext for 12 months to support continuous learning.
BrillicaNext Mobile App
Stay connected to your learning journey with convenient mobile access to course resources on Android and iOS.
Placement Support
Prepare for career opportunities with resume building, LinkedIn profile guidance, mock interviews, and placement assistance.
No-Cost EMI
Make your learning journey more accessible with convenient monthly instalments through available EMI options, subject to applicable terms.
Curriculum
Explore the Course Curriculum
- Data fundamentals and the pillars of data analytics
- Data Analytics vs Data Science
- Machine Learning, AI and Generative AI explained
- Data science lifecycles and workflows
- Roles and career paths in data science
- DBMS vs RDBMS, MySQL / PostgreSQL setup
- SQL command types: DDL, DML, DQL, DCL, TCL
- Data types, schemas, CRUD and loading data
- SELECT, aliases, LIMIT/OFFSET, DISTINCT
- WHERE, BETWEEN, LIKE, REGEXP and sorting
- Text, date-time, NULL and CAST functions
- GROUP BY, HAVING, WITH ROLLUP
- CASE statements and pivoting with CASE WHEN
- Set operations, constraints, keys and normalization (1NF–3NF)
- ER diagrams; inner, outer, cross, self and anti-joins
- Nested and correlated subqueries, EXISTS / ANY / ALL
- Chaining multiple CTEs
- Window functions: ROW_NUMBER, RANK, LAG, LEAD, running totals
- Views, stored procedures, temp tables, indexes and EXPLAIN
- Exporting results; MySQL with Python (pandas.read_sql)
- Setup, Jupyter Notebook, comments and variables
- Data types, type casting, input and operators
- Importing modules: random, math, datetime
- Strings, lists, tuples, sets and dictionaries
- Indexing, slicing, functions and methods
- Comprehensions and generator expressions
- Conditionals, ternary operator, loops, break/continue
- Functions, *args/**kwargs, scope (LEGB) and recursion
- Lambda and higher-order functions: map, filter, reduce, zip
- User-defined modules, packages and pip
- File handling: text, CSV and JSON
- Exception handling and custom exceptions
- Classes, objects, constructors and self
- Instance, class and static methods
- Encapsulation, inheritance, polymorphism, abstraction
- NumPy array creation, attributes and random module
- Indexing, reshaping, stacking and splitting
- Vectorisation, broadcasting and np.where / np.select
- Series and DataFrames; reading CSV, Excel, JSON and SQL
- Selection with loc / iloc, filtering and sorting
- Missing values, duplicates, string cleaning and apply()
- Binning, outlier treatment (IQR), GroupBy and agg()
- Pivot tables, crosstab, melt, merge and join
- Date-time handling, resampling and rolling windows
- Matplotlib: line, bar, area, pie, scatter and distribution charts
- Customisation, subplots and styles
- Seaborn: categorical, distribution, relational and matrix plots
- Univariate, bivariate and multivariate analysis
- Correlation, outliers and missing-value patterns
- Notation (Σ, Π, sets), functions and graphs
- Exponents, logarithms and power transformations
- Vectors, norms, dot product and cosine similarity
- Matrices, inverse, determinant, rank and vector spaces
- Eigenvalues, eigenvectors, SVD, covariance matrix and PCA
- Limits, derivatives, partial derivatives and gradients
- Chain rule — the foundation of backpropagation
- Loss functions, gradient descent and learning rate
- Entropy, information gain and cross-entropy
- Population vs sample, data and variable types
- Central tendency, dispersion, percentiles, skewness and kurtosis
- Z-scores, normal distribution, Q-Q plots and normality tests
- Log, Box-Cox, Yeo-Johnson and quantile transforms
- Standardisation, min-max and robust scaling
- Counting, conditional probability and Bayes' theorem
- PMF, PDF, CDF and key distributions (Binomial, Poisson, Normal, t, Chi-Square, F)
- Sampling, Law of Large Numbers and Central Limit Theorem
- Estimation, MLE and confidence intervals
- Hypothesis testing, p-values, errors, power and effect size
- Z / t-tests, ANOVA, Chi-Square and non-parametric tests
- Correlation vs causation, bootstrap and Monte Carlo
- A/B testing and experimental design
- SciPy and Statsmodels on real-world datasets
- Garbage in, garbage out and the CRISP-DM workflow
- Features vs target and types of ML problems
- Automated profiling with ydata-profiling and Sweetviz
- Cardinality, constant and correlated features
- Target-driven analysis and feature interactions
- Missingness mechanisms (MCAR, MAR, MNAR) and imputation
- Outlier engineering with Isolation Forest and LOF
- Categorical encoding and high-cardinality handling
- Multicollinearity (VIF), scaling and domain features (RFM)
- Feature selection: filter, wrapper and embedded methods
- Imbalanced data: SMOTE, ADASYN and class weights
- Data leakage, splits, cross-validation and Scikit-learn pipelines
- Types and categories of ML algorithms
- Problem formulation, overfitting and the bias-variance trade-off
- Simple, multiple and polynomial regression
- Ridge, Lasso and Elastic Net; MAE, RMSE, R²
- Logistic regression, KNN, Naive Bayes, SVM and decision trees
- Confusion matrix, precision, recall, F1 and ROC-AUC
- Random Forest, AdaBoost, GBM, XGBoost, LightGBM, CatBoost, stacking
- Cross-validation, Optuna tuning and model selection
- K-Means, hierarchical, DBSCAN and GMM clustering
- PCA, t-SNE, UMAP, anomaly detection and recommenders
- ARIMA, SARIMA, Holt-Winters and Prophet
- SHAP, PDP / ICE and end-to-end pipelines
- Kaggle: Titanic, House Prices, Spaceship Titanic
- DevOps vs MLOps and maturity levels
- Batch vs real-time inference; canary and blue-green deployment
- Modular project structure and environments
- Config, logging, type hints, pytest and data validation
- Git and GitHub workflows for ML
- MLflow experiment tracking and model registry
- DVC data versioning; Pickle, Joblib and ONNX
- Streamlit and Gradio apps
- FastAPI ML APIs with Pydantic
- Docker, Docker Compose and Kubernetes basics
- GitHub Actions, Airflow and Prefect
- Deploying on Render, Hugging Face, AWS, Azure and GCP
- Prediction logging, Prometheus and Grafana
- Data and model drift with Evidently AI
- Perceptron, MLP, forward propagation and activations
- Loss functions and backpropagation from scratch
- Optimisers (SGD, Adam, AdamW) and initialisation
- Schedulers, dropout, batch norm and tuning
- TensorFlow, Keras callbacks and TensorBoard
- PyTorch tensors, autograd and training loops
- CNNs, data augmentation and famous architectures
- Object detection with YOLO and image segmentation (U-Net)
- RNN, LSTM, GRU, Seq2Seq and attention
- Transformer architecture and Vision Transformers
- Autoencoders, VAEs, GANs and diffusion models
- ONNX, quantisation and TensorFlow Lite
- NLP workflow, text collection and regex for NLP
- NLTK, spaCy, TextBlob, Gensim and Hugging Face
- Cleaning, tokenisation, stemming and lemmatisation
- POS tagging, dependency parsing and Hinglish / Indian-language text
- Bag of Words, N-grams, TF-IDF and text similarity
- Text classification, NER and topic modelling (LDA, NMF)
- Word2Vec, GloVe, FastText and Sentence-BERT
- LSTM / BiLSTM text models and Seq2Seq translation
- Subword tokenisation, BERT family, GPT, T5 and BART
- Hugging Face fine-tuning, summarisation and QA systems
- BLEU, ROUGE, METEOR and perplexity
- How LLMs are trained and aligned (SFT, RLHF, DPO)
- Generation parameters and the LLM landscape
- OpenAI, Anthropic and Gemini APIs; structured outputs
- Running open-source LLMs with Ollama; tokens, cost and latency
- Prompt patterns, chain-of-thought and templates
- Managing system prompts, history and memory
- Vector databases: FAISS, ChromaDB, Pinecone, Qdrant
- Chunking, hybrid search, re-ranking and GraphRAG
- RAG evaluation with RAGAS
- LangChain and LlamaIndex
- LoRA / QLoRA fine-tuning; multimodal models, Whisper, Stable Diffusion
- Gen AI-assisted EDA, data cleaning and code generation
- Text-to-SQL and natural-language analytics
- Synthetic data generation and LLM-based data labelling
- Chatbots and copilots with Streamlit and Gradio
- Multimodal apps: vision-language models, speech and image generation
- Cost, latency and quality optimisation for Gen AI apps
- LLM evaluation, guardrails and responsible AI
- LangSmith / Langfuse, FastAPI, Docker and vLLM serving
Tools & technologies
Master Industry Tools Through Hands-On Practice
Pandas
Python
Numpy
SQL
Tensor Flow
AWS
Matplotlib
Scikit Learn
Gen AI
PyTorchProjects
Build Real Projects. Showcase Your Skills
Project 01
Car's Ex-Showroom Price Prediction
Predict car ex-showroom prices using machine learning based on features, specifications, and brand.
Project 02
Kidney Stone Classification Project
Classify kidney stone cases using medical data and machine learning classification techniques.
Project 03
Brain Tumor Detection Using MRI Scan Images
Detect brain tumors from MRI scan images using image processing and deep learning models.
Project 04
Casting Iron Defect Image Classification
Identify casting iron defects from images using computer vision and deep learning techniques.
Project 05
SPAM Detection
Classify messages or emails as spam or legitimate using natural language processing and machine learning.
Project 06
Recommendation System
Recommend relevant products or content based on user preferences, behavior, and historical data.
Certification
Earn an industry-recognised certificate
Showcase your skills and project experience with a Brillica Services certificate. Add it to your resume and LinkedIn profile to highlight your achievements, strengthen your professional credibility, and stand out to potential employers.
- Worldwide RecognitionShowcase your course completion and practical skills with a certificate from Brillica Services to support your professional profile when applying for opportunities.
- Lifetime ValidityYour certificate remains valid for a lifetime, allowing you to highlight your learning achievement throughout your career.
- Project-Based AchievementEarn your certificate by completing course requirements, projects, and assessments, demonstrating your practical learning beyond classroom attendance.
Career outcomes
Our learners work at top companies
Our placement team prepares you for career opportunities across industries with expert guidance, interview preparation, and job-readiness support.
Data ScientistML EngineerAI EngineerData AnalystGenAI DeveloperNLP Engineer
Who should join
Built for Dehradun's beginners and professionals who want a career in Data Science and AI
- Graduates and final-year students (B.Tech, BCA, MCA, B.Sc) in Dehradun who want a first job in data science or AI.
- Software developers and testers moving into data science, machine learning and AI engineering.
- Data and business analysts who want to add Python, machine learning and Gen AI to their skills.
- Working professionals and career switchers who want a structured classroom path into AI.
- Founders and freelancers who want to use AI and data to automate work and decisions.
Mentors
Learn from Industry Experts
Kumod SharmaData Science ConsultantEXP 4+ yrs
Alumni
Recently placed Brillica learners
Kanishka GuptaData Analyst
Placed at
Pankaj BhandariSr. Data Analyst
Placed at
Kajal BhandariData Analyst
Placed at
Pawan Lakhera Data Analyst
Placed at
Brillica Job-Readiness Program · included free
Skills open the door. Confidence gets you the job.
Alongside your regular course, every Brillica learner goes through our Job-Readiness Program and Personal Development Program (PDP). Resume, communication, GD, aptitude, interview skills and mock interviews, until you're ready to crack the interview.
15+PDP sessions per program
10Job-readiness modules
1:1Resume & mock interview reviews
₹0Extra cost
Resume building
One-on-one resume reviews with ATS-friendly templates for your target role.
Recruiter-ready resumeLinkedIn & portfolio
Optimised LinkedIn profile, GitHub, Behance or campaign portfolio from your course projects.
Profile that gets foundCommunication skills
Spoken English, email writing, presenting your projects and speaking with confidence.
Clear, confident speakingGroup discussion (GD)
Weekly GD rounds on tech, business and current topics with feedback on structure and clarity.
Clear the GD roundAptitude & reasoning
Quantitative, logical and verbal practice in the format used by campus and off-campus drives.
Pass screening testsFees & EMI
Invest in your career, pay monthly
Festive offer · up to 30% offProgram feeAsk for this month's priceAlready counselled? Pay online securely →
No-cost EMI0% interest
Free LMS + BrillicaNext app1 year
Placement supportIncluded
Interview PreparationMock interviews and career guidance
What's included
- Live classroom or online classes
- AI-infused curriculum & tools
- BrillicaNext LMS & app for 1 year
- Projects with mentor reviews
- Job-Readiness Program: resume, GD, mock interviews
- Placement drives & referrals
- Industry-recognised certificate
About the program
About Data Science Course in Dehradun with Gen AI
Are you looking to excel in the data science field? Brillica Services offers a variety of specialized Data Science courses in Dehradun with Gen AI, tailored to meet your career goals. Whether you're a beginner or an experienced professional, we provide training options to match your level of expertise. Choose our 12-month Advanced Data Science program to gain in-depth knowledge and practical expertise in cutting-edge technologies.
Data Science Course in Dehradun with 100% Placement Assistance
At Brillica Services, our Data Science Course in Dehradun with Placement is designed not just to teach you skills — but to get you hired. Our dedicated placement team works with 50+ hiring partners across India to connect students with top companies.
What Our Placement Support Includes:
Resume building and LinkedIn profile optimization
1-on-1 mock interviews with industry experts
Access to exclusive job referrals and hiring drives
Soft skills and communication training (15+ PDP sessions)
What is the Fee for a Data Science Course in Dehradun?
The fee for a Data Science Course in Dehradun with Gen AI generally ranges from ₹40,000 to ₹85,000, depending on course duration, curriculum, practical projects, certification, mentorship, and career support. At Brillica Services, students receive structured training, hands-on learning, expert guidance, and placement assistance, helping them develop industry-relevant skills and prepare for data science career opportunities with confidence.
Who Can Apply?
Our courses are designed for individuals at different stages of their careers, including:
Students and Graduates: Those seeking a career in data science or related fields.
Working Professionals: IT professionals looking to upskill or switch to a data-driven career.
Entrepreneurs: Individuals aiming to use data science to enhance business decision-making.
Career Changers: Those interested in transitioning from other fields into the lucrative world of data science.
Data Science Course for Students & Freshers in Dehradun
Are you a student or fresh graduate in Dehradun looking to start a career in data science? Brillica Services offers a structured Data Science Course for Students in Dehradun — with zero prior coding experience required.
Learn Python, SQL, Machine Learning from scratch
Earn an industry-recognised Data Science Certification
Work on 10+ real-world projects to build your portfolio
Get placed through 100% Placement Assistance
Many of our students from Dehradun, Haridwar, Roorkee, and Rishikesh have secured placements at companies like Bunge, TCS, and more within months of completing the course.
Data Science Course for Working Professionals in Dehradun
Already working in IT or another field? Our Data Science Course for Working Professionals in Dehradun is designed to help you upskill or switch careers — without disrupting your current job.
Weekend & evening batches available
Online mode for maximum flexibility
Learn AI, ML, Power BI, Python used in your industry
Career transition roadmap + dedicated placement support
Mid-level data scientists earn INR 10–15 LPA after upskilling
Whether you are an IT professional, MBA graduate, or from a non-tech background, our expert trainers will guide you at your own pace.
Online and Offline Data Science Course in Dehradun
We provide both online and offline learning options to suit your preferences:
Online Courses: Flexible schedules with live sessions, recorded lectures, and virtual labs.
Offline Courses: In-classroom training in Dehradun with hands-on activities and peer interactions.
Key Benefits
Expert Faculty: Learn from seasoned professionals with extensive industry experience, ensuring practical and actionable insights.
Comprehensive Curriculum: Cover all aspects of data science, from foundational tools to advanced techniques like AI and Big Data.
Hands-On Training: Work on real-world projects to enhance your practical knowledge and problem-solving skills.
Industry-Relevant Skills: Learn tools like Python, Power BI, and more to meet market demands.
Niche Tracks: Focus on specific industries such as healthcare, finance, or e-commerce to align with your career goals.
Placement Assistance: Leverage our strong industry connections for internships and job opportunities.
Skills You Will Master
1. Programming
Expertise in Python, SQL for data manipulation, analysis, and querying.
2. Data Visualization
Proficiency in Power BI, and Matplotlib to create insightful and interactive visual representations of data.
3. Machine Learning
In-depth knowledge of Regression, Classification, and Clustering algorithms for predictive and analytical modeling.
4. AI and Deep Learning
Mastery of TensorFlow and Matplotlib for building advanced AI and deep learning models.
5. Analytical Thinking
Developing problem-solving abilities with data-driven approaches to tackle real-world business challenges.
6. Communication
Skills in presenting complex data insights clearly and effectively to both technical and non-technical audiences.
Top Sectors Hiring Data Scientists:
As data continues to grow exponentially, organizations across diverse industries are making substantial investments in data science talent to leverage insights and gain a competitive edge. Here are some sectors and organizations where data scientists are in high demand:
Sectors Hiring Data Scientists:
Technology: IT firms, SaaS companies, and tech startups.
Healthcare: Hospitals, biotech firms, and pharmaceutical companies.
Finance: Banks, insurance firms, and fintech startups.
Retail and E-commerce: Consumer goods companies and online marketplaces.
Telecommunications: Telecom giants and service providers.
Government and Research: National agencies and academic institutions.
Companies Hiring Data Science Professionals: Google, Microsoft, Amazon, Deloitte, IBM, TCS, Infosys, and Wipro, among others.
Average Salary Expectations:
Entry-level data scientists in India typically earn an average salary ranging from INR 6 to 8 LPA.
Mid-level professionals can earn between INR 10-15 LPA.
Data scientists in Senior manager positions can command salaries exceeding INR 20 LPA.
Why Brillica Services is the best Institution for a Data Science Course in Dehradun
Brillica Services is a trusted choice for students who want to join a Data Science Course in Dehradun with simple and practical learning. As a leading Data Science Institute in Dehradun with Gen AI, we focus on easy teaching, real project practice, and expert trainer support. Our Certification course helps students build strong knowledge and useful skills for future jobs. We also provide 100% palcement Assistance to support learners with interview preparation and career guidance. That is why many students choose Brillica Services as the right place to learn data science and move toward a better future with confidence.
Conclusion
Brillica Services offers comprehensive and specialized Data Science courses in Dehradun, Uttarakhand, making it the best Institution for data science course in Dehradun with Gen AI for students, working professionals, entrepreneurs, and career changers. Whether you are starting from scratch or upgrading your skills through our 12-month in-depth program, you will gain practical, hands-on experience with industry-relevant tools, real projects, and job-focused techniques.
Our expert faculty, practical training, and strong industry connections ensure that you're prepared for lucrative career opportunities in data science. With flexible learning options and a curriculum that covers everything from Python and SQL to machine learning and AI, Brillica Services is your gateway to excelling in the data science field.
FAQs
Data Science Course in Dehradun with Gen AI: FAQs
Brillica Services is consistently recognized as one of the top-rated Data Science institutes in Dehradun. What sets it apart is its combination of industry-relevant curriculum, experienced mentors with real-world project backgrounds, both online and offline batch options, dedicated placement assistance, and batch flexibility for working professionals. Students have gone on to work with leading companies after completing the course here.
The Data Science Course at Brillica Services, Dehradun has a duration of 12 months. The curriculum covers everything from Python fundamentals to advanced Machine Learning, Deep Learning, and real-world industry projects — ensuring students are job-ready by the end of the program.
Anyone can apply for the Data science course in Dehradun with Gen AI IT graduates including BCA, MCA, BBA, and MBA, Btech, Mtech, B.Sc(IT), M.Sc(IT) graduates and PhD holders. We provide the best opportunities for all working professionals also with live data science training
Data science training at Brillica Services in Dehradun provides a comprehensive set of tools to work with data from diverse sources, including financial logs, multimedia files, marketing forms, sensors, and text files. A key aspect of data science involves structuring data for analysis, which includes tasks like cleaning, aggregating, and manipulating data to enable advanced analysis.
It’s crucial to understand why some individuals excel in the data science field while others struggle, even with solid data science training. Before diving into data science, there are several key areas one should be familiar with: 1) Understanding of data, 2) Knowledge of algorithms and logic, 3) Proficiency in programming languages, 4) Strong grasp of statistics, and 5) Familiarity with the business domain. If you’re not well-versed in any of these areas, it’s advisable to gain a solid understanding of these concepts first before embarking on a data science course.
Start your Data Science Course in Dehradun with Gen AI journey
Speak with our counsellor today to explore course fees and secure your admission with no-cost EMI.
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