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Data Science & AI/ML Career Program

Transform Your Career with Industry-Ready AI & Machine Learning Skills

A 7-month industry-oriented certification program in Machine Learning and Artificial Intelligence

Integrated with AI Co-Lab Experience and BYOP

Learn to integrate GenAI into your existing software stack.

Build Autonomous
AI Agents

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Program Highlights

01

Practice-Oriented Learning Approach

  • Each session is designed to balance theory and practice equally, ensuring that every concept is not only explained in depth but also demonstrated through practical, real-time examples.
  • Live coding and live debugging sessions
  • Emphasis on diagnosing and fixing real-world model failures

02

Industry-Ready AI Curriculum (2026 Focus)

  • Generative AI and Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG) systems
  • AI application development beyond notebook-based learning

03

Transparent and Fundamental Learning

  • Build machine learning models and neural networks from scratch using NumPy
  • Develop a deep understanding of model behavior and optimization
  • Strong foundational skills aligned with production environments
  • Portfolio projects that are valued by recruiters

04

Real Industry Projects (No Generic Capstones)

  • Each live training session brings actual industry business problems into the classroom, demonstrated and solved in real time by the trainer.
  • Participants will gain access to real corporate datasets and authentic, industry-relevant problem statements through the trainer.

05

Mock interviews with industry mentors starting from Month 4

  • Resume, LinkedIn, and portfolio development guidance
  • Access to a data science job fair and industry workshops

06

Detail Revision & Test after completion of each Module

  • Comprehensive revision sessions will be conducted upon completion of each module
  • Comprehensive Test and Presentation at the end of each Module.

07

Participant will receive an industry-recognized DSAI certification from PDCloudEX

7 Months Learning Roadmap

Month 1

Python and SQL Foundations

Month 2

Data Analysis, Statistics, and Applied Project

Month 3

End-to-End Machine Learning

Month 4

End-to-End Machine Learning & Project Work

Month 5

Deep Learning and Natural Language Processing

Month 6

Generative AI, LLMs Systems & Project Work

Month 7

Interview Preparation and Career Strategy

Course Modules

Module 1: Python Fundamental for Data Science

Module 2: SQL for Data Science

Module 3: Statistics for Data Science

Module 4: Linear Algebra for Data Science

Module 5: Exploratory Data Analysis (EDA)

Module 6: Data Visualization & Tools using Python

Module 7: Machine Learning

Module 8: Logistic Regression

Module 9: Machine Learning Module ( Naive Bayes )

Module 10: Machine Learning Module ( Support Vector Machines )

Module 11: Machine Learning Module ( Decision Trees )

Module 12: Machine Learning Module: Random Forests

Module 13: Machine Learning Module: Boosting Algorithms

Module 14: Machine Learning Module: Unsupervised Learning – Clustering

Module 15: Machine Learning Module: Dimensionality Reduction – Principal Component Analysis (PCA)

Module 16: Deep Learning

Module 17: Natural Language Processing (NLP)

Module 18: Generative AI

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Industry Recognized Certification Course

Assessment & Certification Criteria

  • Upon completion of each module, comprehensive revision sessions and assessments will be conducted.
  • Learners must achieve a minimum score of 60% in every classroom assessment.
  • Candidates who meet the eligibility criteria and attain at least 60% will be awarded the 7-Month Industrial Hands-On Project Certification from PDCloudEX.

Program Details

Program Details

  • Training Mode: Online
  • Duration: 7 Months
  • Seats: Limited (First Come, First Served)

Program Fee

  • Course Fee : ₹ 89,000
  • Early Bird offer - ₹ 84,000
2 flexible installments plan available

Contact

  • meera.gopan@pdcloudex.com
  • +91 94961 65697

Why Choose PDCloudEx?

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Frequently Asked Questions

What is Data Science and why is it in demand?
Data Science is the process of analyzing data using statistics, programming, and machine learning to extract meaningful insights. With companies relying heavily on data-driven decisions, skilled data scientists are in high demand across industries.
Data Science is the process of analyzing data using statistics, programming, and machine learning to extract meaningful insights. With companies relying heavily on data-driven decisions, skilled data scientists are in high demand across industries.
Data Science is the process of analyzing data using statistics, programming, and machine learning to extract meaningful insights. With companies relying heavily on data-driven decisions, skilled data scientists are in high demand across industries.
No prior coding experience is required. The course starts from the basics of programming and gradually moves toward advanced machine learning concepts.
Yes, we provide career guidance, resume building support, interview preparation, and placement assistance to help you secure a job in the data science field.

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