Prominent Academy

Fast-Track to Data Greatness: Science, Analytics, Engineering & Gen AI

  • Learn the essentials of Data Science, Analytics, and Engineering in one comprehensive course, enhanced with Generative AI skills. In just 4-5 months, master Python, SQL, Machine Learning, Data Visualization (Tableau/Power BI), ETL pipelines, Cloud Platforms (AWS/Azure), and Gen AI tools like ChatGPT.
  • Gain hands-on experience with real-world projects, personalized mentorship, and placement support to become job-ready in the data-driven world!

FREE LIVE SESSION FOR JUST 100 STUDENTS!!!

Get guidance and clear your doubts.

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Your Data Career, Supercharged:

Data Science, Analytics, Engineering & Gen AI Combo

Fast-Track to Job Readiness:

Master in-demand skills in just 4-5 months.

All-in-One Solution:

Covers Data Science, Analytics, Engineering, and Gen AI in one powerful course.

Generative AI Edge:

Learn cutting-edge AI tools like ChatGPT to stay ahead in the industry.

Career Switch Made Easy:

Perfect for freshers and career switchers from any background.

Placement Statistics

Your Gateway to High-Paying Data Jobs in India:

Data Science, Analytics, Engineering & Gen AI

Why Should You Do This Course?

High Demand, High Pay

Data roles are booming in India, with companies across IT, finance, e-commerce, and more looking for skilled professionals.

Comprehensive Learning for End-to-End Expertise

This course equips you with a blend of:.

Future-Proof Your Career with Gen AI

Generative AI is shaping the future of data jobs in India. Companies are paying premiums for professionals who can integrate AI tools into traditional data roles.

Quick Career Switch in Just

4-5 Months

Designed for beginners or career switchers, this course lets you break into the industry without prior coding experience.

Job Placement Assistance

Massive Career Growth in the Indian Market

Generative AI is shaping the future of data jobs in India. Companies are paying premiums for professionals who can integrate AI tools into traditional data roles.

Make Your

Count....

In a rapidly growing Indian job market, this course is your ticket to:

Comprehensive Course Syllabus & Tools

Duration: 4-5 Months
Goal: Become job-ready with expertise in Data Science, Data Analytics, Data Engineering, and Generative AI integration.

Data Science Fundamentals

Gain a solid foundation in handling and modeling data to derive meaningful insights.

Introduction to Data Science

  • What is Data Science?
  • Data Science Lifecycle
  • Applications of Data Science
  • Python Basics (Variables, Loops, Functions)
  • Libraries: Pandas, NumPy for Data Manipulation
  • Data Cleaning and Preprocessing
  • Descriptive Statistics (Mean, Median, Mode, Variance)
  • Hypothesis Testing
  • Probability Distributions (Normal, Binomial, Poisson)
  • Identifying Trends, Outliers, and Patterns
  • Visualization with Matplotlib and Seaborn
  • Types of Machine Learning (Supervised, Unsupervised)
  • Algorithms:Supervised: Linear Regression, Logistic Regression , Unsupervised: Clustering (K-Means), Dimensionality Reduction (PCA)
  • Building Predictive Models
  • Deployment with Flask or Streamlit

Data Analytics Expertise

Learn to analyze and visualize data for actionable business insights.

  • Advanced Formulas and Functions
  • Pivot Tables and Charts
  • Data Cleaning in Excel
  • Writing Queries to Retrieve Data
  • Joins, Subqueries, and Aggregations
  • Creating and Managing Databases
  • Best Practices for Data Visualization
  • Creating Dashboards and Reports
  • KPI Development
  • Analyzing Trends and Performance Metrics

Presenting Data-Driven Insights Effectively

Data Engineering Essentials

Master the backend processes to build, manage, and maintain data workflows.

Introduction to Data Engineering

  • Role of Data Engineers
  • Data Architecture Overview
  • Designing Data Pipelines
  • Data Transformation Techniques
  • Overview of Apache Hadoop and Spark
  • Handling Large Datasets
  • Concepts of OLAP and OLTP
  • Building Data Warehouses with Redshift
  • AWS Basics (S3, Redshift)
  • Azure Data Factory for Pipeline Management

Generative AI (Gen AI) Integration

Understand and implement cutting-edge Generative AI technologies.

  • What is Gen AI?
  • Applications Across Industries
  • Tokenization, Sentiment Analysis
  • Text Summarization and Translation
  • Prompt Engineering Basics
  • Integrating ChatGPT into Applications
  • Creating Synthetic Data
  • Automating EDA Tasks with Gen AI
  • Developing Custom AI Solutions
  • Ethical Considerations in AI

Master Industry-Leading Tools:

From Python to Power BI, Spark to Gen AI – All in One Course!

You want to know more?

Download the course brochure to learn more about the data science with Gen AI PG course.

What Our Students Say

Don't take our word for it! Here's what some of our course completers say:

Shrutika N.
Shrutika N.
Data Scientist
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Mostly mala interview madhe data science che interview detana khup tym lagla prep sathi starting che 12 interview ashe ch waste gele me scenario question madhe ch baher jaycho like te tumahala scenario v4tat - as a Data Scientist at a company that processes millions of user transactions daily , the company noticed an unusual spike in transaction failures, leading to a poor user experience. Your task is to identify the root cause, propose a solution, and implement the fix. Asha types n mg qus kartat tya vr What specific data would you collect to analyze the issue? , How would you formulate hypotheses to explain the spike in transaction failures? Starting la tough gela non tech background cha aslyamule but seriously khup help jhali prominent chi tech support lavla tya tya tym la doubt tikdech solve karnr
Nikita Patil
Nikita Patil
Data Scientist Associate
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Maine already 5 saal data analytics mai kam kiya tha mai yaha pe inke pass data science ke liye aya tha aur pakg increase ke liye abhi yaha se mera jab join kiya tha class tab 4.9 lpa tha aur abhi data science with gen ai ke baad 8.3 lpa ka hai bhot help kiya aisa nhi hai lekin baki jagah se to sach mai help kiya hai prominent ne baki class or coaching wale se ache he hai mera inke admin wali ke sath fees ke related jagda hua tha sab acha hai bass admin thoda improvement chahiye seriously
Amit Singh
Amit Singh
ML Engineer II (Deep Learning)
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Mai jab course ke liye gaya taab inke reviews padhe related data science n abhi jara trending mai hai generative ai ache the inhone class mai data science ke toolkits, like as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc.bhot acha sikhaya lekin NLP, NLG and Large Language Models like – BERT, LLaMa, LaMDA, GPT ye wale topics mai bhot jyada improvement ho sakti hai
Pramod M
Pramod M
AI Development Specialist
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Data science ka course jasa jhala last month madhe hyani resume banun dila jara keywords madhe gadbad hoti but barych thikani ats friendly resume short list tr hot hota but Impetus madhe lagyla barach tym lagla me tikde as a Data Scientist ata me LLM (Large Language Models) , LangChain and OpenAI in particular tyavr saddhya kam karto
 Himanshu Chauhan
Himanshu Chauhan
Artificial Intelligence Engineer
Read More
modern ML application design, from problem framing to deployment and monitoring in production these are the common interview questions every interviewer ask me questions related to this module important and mandatory topics

Still Confused ? Take the 1st step

FAQs

No prior knowledge of data science is required! We begin our course from the basics and gradually build up to advanced topics. Basic understanding in programming and statistics can be helpful but is not mandatory.

This course usually lasts between three to six months depending on the class schedule you want; whether full time or part time, you will have sufficient time to digest and have a chance to practice your skills.

Yes! Once you complete the course, you get a certificate that you may attach to your resume or update on LinkedIn. The certificate is proof that you can do data science and analytics.

We have job placement support. This includes creating a resume, interview preparations, and connecting you through our network of industry-related contacts. We will put you on the road toward your career.

All course resources are inclusive in the fees. In case you require more resources or other software for personal use, the costs will be supplementary.

You will gain hands-on experience with popular tools like Python, R, SQL, Tableau, and TensorFlow, among others.

Yes! You’ll complete a capstone project that showcases your skills. This project will be a part of your portfolio when you apply for jobs.

Absolutely! We offer both in-person and online classes, so you can choose the format that works best for you.

We keep our class sizes small, typically around 15-20 students, to ensure personalized attention and interaction.

Our approach combines lectures, hands-on labs, group discussions, and real-world projects to reinforce learning.

Yes! We provide ongoing support through our alumni network, including access to resources and job opportunities.

Yes! If you enroll as a group, we offer special discounts. Please contact us for more details.

You can easily enroll through our website or by visiting our academy. Just fill out the registration form, and our team will assist you.

We have a clear refund policy. If you withdraw within the first weeks of the course, you’ll receive a full refund.

While internships are not mandatory, we can assist you in finding internship opportunities that match your skill set.

Your assessment will be based on assignments, quizzes, participation in projects, and the final capstone project.

Yes! If you need to switch formats during the course, just let us know, and we’ll accommodate your request.

Yes! We cover foundational concepts in big data technologies such as Hadoop and Spark.

Absolutely! Many of our students come from non-technical backgrounds and successfully transition into data science careers.

Graduates have gone on to roles such as Data Analyst, Data Scientist, Machine Learning Engineer, and Business Analyst, among others.

Most of the tools we use are free or open-source, so you won’t need to purchase software for the course.

If you have an interest in data analysis, problem-solving, and technology, this course is likely a great fit for you.

Basic computer skills and a reliable internet connection are essential for online learning.

Yes! We offer demo classes so you can get a feel for our teaching style and curriculum

We record all classes, so you can catch up on any missed material at your convenience.

We offer flexible payment plans and may have financial aid options. Contact us for more information.

Yes, we cover data ethics and best practices to ensure responsible data usage.

We encourage our alumni to join our networking events and subscribe to industry publications and forums for the latest updates.

We offer resume reviews, mock interviews, and access to job postings in the data science field.

We facilitate networking through workshops, events, and online forums where you can connect with peers and alumni.

Assured Interview Calls

Pick a learning plan that feels right for you, and experience what Prominent Academy has to offer. If you're not fully satisfied, If you don't get interview calls, we'll offer you a refund (yeah, we're that confident you'll love ♥ it)

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