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With
Certification & 100% Placement Assistance
Online Course | Real-Time Projects | 4-6 Months |
Master Data Science with AI-powered tools, machine learning, and real-world projects. This Data Science with Gen AI Training includes Python, Data Analysis, Machine Learning, AI models, and deployment skills. At Innoture Digital Edge, our industry-focused training, expert mentors, and practical learning approach help students gain job-ready skills and build a successful career in Data Science and Artificial Intelligence.
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| Next Batch Date | Mar 20, 2026 - 10:00 AM |
| Training Modes: | Online Training (Instructor-Led) |
| Course Duration: | 2-3 Months |
| Call us at: | +91 7996682999 |
| Email Us at: | trainings@innoture.co.in |
Industry-Oriented Data Science Curriculum
Our course is carefully designed based on current industry requirements. Students learn Python, statistics, data analysis, machine learning, AI models, and deployment concepts.
Real-Time Projects and Practical Training
Students work on real-time data science projects that simulate real company environments. This helps you understand real-world data workflows and AI model building.
Expert Trainers with Industry Experience
Our trainers have strong technical backgrounds in Data Science, Machine Learning, and AI. They guide students step-by-step through complex concepts.
100% Placement Support
We provide dedicated placement assistance including resume building, mock interviews, and job referrals in Data Science and AI roles.
Job-Ready Skills Development
The training focuses on practical data science skills that companies demand. By the end, students can build and deploy ML models independently.
Flexible Learning Options
We offer both online and classroom training for students and working professionals.
Certification After Course Completion
Students receive a Data Science with Gen AI certification that strengthens their resume and career opportunities.
Beginner-Friendly Training
Even beginners can start from fundamentals and gradually move to advanced AI and ML concepts.
Career Guidance and Mentorship
We guide students in choosing the right Data Science career path and help prepare for interviews confidently.
Growing Demand for Data Science Professionals
Data Science and AI are among the fastest-growing fields, with high demand across industries like finance, healthcare, and IT.
Industry Expert Trainers with real AI/ML experience
Live Online Instructor-Led Training
120+ Hours of Practical Training
Hands-on Real-Time Data Science Projects
Learn Python, Pandas, NumPy, Machine Learning, AI Models
Model Training and Deployment
Git and GitHub Version Control Training
Resume Building and LinkedIn Profile Optimization
Technical Mock Interviews and Practice
Career Guidance and Interview Preparation
Placement Assistance for Eligible Students
Lifetime Access to Class Recordings
Beginner-Friendly Step-by-Step Learning
4-Month Structured Data Science Program
Learn Python fundamentals including variables, loops, functions, and data structures. This builds the foundation for Data Science and AI development.
Understand how to analyze and clean data using Pandas and NumPy. Learn how to work with real-world datasets.
Learn descriptive statistics, probability, distributions, and hypothesis testing for data-driven decision making.
Use Matplotlib and Seaborn to visualize data insights and create meaningful charts and dashboards.
Learn supervised and unsupervised learning, regression, classification, and clustering algorithms.
Explore model evaluation, feature engineering, hyperparameter tuning, and cross-validation techniques.
Understand neural networks, CNN, RNN, and frameworks like TensorFlow or PyTorch.
Learn LLMs, prompt engineering, AI tools, and how generative AI is used in real-world applications.
Learn how to store and manage data using MySQL and MongoDB. Perform CRUD operations and manage datasets efficiently.
Use Git and GitHub for version control, collaboration, and project management.
Build real-world projects like prediction systems, recommendation engines, and AI chatbots.
Learn how to deploy machine learning models and data science applications using cloud platforms.
A Data Scientist is a professional who analyzes, processes, and extracts insights from data using tools like Python, statistics, and machine learning. They build models that help organizations make data-driven decisions.
This involves cleaning, organizing, and analyzing data using Python libraries like Pandas and NumPy.
Machine learning enables systems to learn patterns from data and make predictions using algorithms.
Deep learning uses neural networks to solve complex problems like image recognition and NLP tasks.
Data scientists use generative AI tools, LLMs, and prompt engineering to build intelligent applications.
Tools like Git, cloud platforms, and APIs help deploy and scale data science solutions in production environments.
| Feature | Data Science with Gen AI | AI / ML Engineering |
|---|---|---|
| Core Focus | Data analysis, insights, visualization | Model building, deep learning systems |
| Programming | Python, Pandas, NumPy | Python, TensorFlow, PyTorch |
| Math Requirement | Statistics & basic ML math | Advanced math, linear algebra, calculus |
| Complexity | Beginner to Intermediate | Intermediate to Advanced |
| Use Cases | Business insights, dashboards, reporting | Autonomous systems, deep learning apps |
| Industry Demand | Very high | Rapidly growing in AI companies |
Create a strong Data Science resume highlighting ML projects, Python skills, and AI experience.
Industry-focused training for Data Science and AI job roles with real-world case studies.
Practice Data Science, Python, and ML interview questions with expert guidance.
Work on AI/ML projects like prediction models, chatbots, and analytics dashboards.
Improve communication, confidence, and interview skills for Data Science roles.
Practice interviews with industry experts and get detailed feedback.
Get help coordinating interviews with hiring companies.
Support until placement including offer letter guidance and negotiation.
Students who want to build careers in Data Science and AI can benefit from this course.
Students from any background interested in IT and analytics careers.
Graduates looking for entry-level Data Science or AI jobs.
Individuals aiming to enter the Data Science and AI industry.
Professionals upgrading to AI, ML, or Data Science roles.
Non-IT professionals transitioning into Data Science careers.
Build insights and predictive models using data and ML techniques.
Analyze data and create dashboards for business decisions.
Develop and deploy ML models for real-world applications.
Work on AI systems, automation, and generative AI tools.
Use data insights to improve business strategies.
Data Science professionals are in high demand across industries like IT, finance, healthcare, and e-commerce. Companies are actively hiring skilled Data Scientists and AI engineers.
Freshers
₹5 LPA to ₹10 LPA
2–5 Years Experience
₹10 LPA to ₹20 LPA
Senior Roles
₹20 LPA+
India’s growing digital economy has created huge demand for Data Science and AI professionals across industries.
Companies are using data-driven decision making, increasing the need for skilled Data Scientists and ML Engineers.
Data-driven applications and AI systems.
Fraud detection, risk analysis, trading models.
Disease prediction and medical analytics.
Recommendation systems and customer analytics.
Customer segmentation and campaign optimization.
Route optimization and supply chain analytics.
Top companies are hiring Data Science and AI professionals globally as demand continues to grow.
Data Science and AI skills are in high demand. Upgrade your career with industry-ready training.
Hear what our students have to say about their journey with Innoture Digital Edge.
"The Java Full Stack course was a game-changer for my career. The real-time project experience was invaluable, and the trainers, who are actual industry architects, provided insights I couldn't get anywhere else. I landed my dream job within a month of completion."
"I was struggling to pass the AWS Solutions Architect exam on my own. Innoture Digital Edge's focused training and hands-on labs made all the difference. The instructors explained complex concepts with such clarity. Highly recommended for any cloud aspirant!"
"The UI Full Stack program is top-notch. I went from knowing basic HTML to building complex React applications with confidence. The placement assistance team was incredibly supportive, helping me build my resume and prepare for interviews."
"I joined Innoture Digital Edge to learn Java Full Stack Development and it was one of the best decisions for my career. The trainers explain concepts clearly and the real-time projects helped me understand how companies actually build applications."
"The course structure is excellent for beginners. I started with basic programming and now I can build full web applications using Java, Spring Boot, and React. The placement support is also very helpful."
"What I liked most is the practical training. Instead of only theory, we worked on real projects and GitHub portfolios. This helped me feel confident during interviews."
"The trainers are very supportive and guide students step by step. Even when I had doubts after class, they helped me understand the concepts clearly."
"Great institute for learning full stack development. The mock interviews and resume building sessions helped me prepare for real company interviews."
"I highly recommend this training program for anyone who wants to start a career in software development. The curriculum covers everything from basics to advanced topics."
"The best part of the course is the real-time projects and practical sessions. It helped me gain confidence in coding and application development."
"The learning environment is very good and the trainers explain concepts with real industry examples. It makes learning much easier."
"Good training with updated technologies like Spring Boot, REST APIs, and React. The course content is very relevant to current industry needs."
"This course helped me understand both frontend and backend development. The guidance provided for interviews and career growth is very valuable."
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"A very useful course for learning digital marketing from basics to advanced strategies. The projects helped me understand real marketing campaigns."
"The training is well structured and beginner friendly. I learned how to create content and promote brands online."
"I gained hands-on experience with Google Ads and campaign optimization. The trainer support was excellent."
"The practical examples and assignments helped me understand marketing strategies and analytics tools."
"A great place to learn digital marketing with real-time examples and guidance."
"The course helped me improve my marketing knowledge and understand how businesses grow online."
"I learned social media strategies, audience targeting, and campaign management through practical sessions."
"The assignments and projects helped me gain real knowledge and start working on freelance marketing projects."
Get answers to common questions about our courses and learning experience.