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Professional Certificate in Data Science and Generative AI
Data Masters

Professional Certificate in Data Science and Generative AI

3.500,00 EUR

  • 300 hours
Blended Learning
eLearning
Live Virtual Classroom

The Professional Certificate in Data Science and Generative AI, provides a comprehensive curriculum for mastering data science, machine learning, and Generative AI. Combining theoretical learning with practical application, participants gain expertise in programming, data management, applied data science with Python, machine learning, deep learning, and generative AI techniques.

About the Program

In collaboration with IBM

  • 6 months length program (Live class & eLearning)
  • Live classroom (5-8hrs / Week weekend classes)
  • Ask us for the next cohort and schedule details!

Through hands-on projects, labs, and mentorship sessions, learners acquire experience with industry-standard tools and real-world applications, preparing them for careers in data science, machine learning, and Generative AI. The program suits both recent graduates and experienced professionals, offering a blend of self-paced videos, live virtual classes, and high-engagement practical exercises.



What Is Included?

Course and material are in English

Beginner to advanced level

6 months of live classroom by industry experts

(5-8 hours/week weekend classes)

250+ hours of live classes and mentor-led project support

25+ hours eLearning video content

300+ hours of study time and practice recommended

Flexible learning with session recordings and 24/7 access

Gain exposure to ChatGPT, Gemini, Keras, TensorFlow and other prominent tools

Interactive sessions on the latest AI trends, such as GenAI, prompt engineering, LLMs, and more

3 capstones and 25+ hands-on projects from various industry domains

Industry-recognized IBM certificates for IBM courses

What Skills Will You Gain?

At the end of this Program, you will be able to:

Data storage

Gather, process, and store data from multiple sources on cloud and on-premises platforms

Data pipelines

Ingest, transform, and orchestrate data pipelines using AWS services while ensuring data quality.

Big Data

Process big data efficiently to improve business productivity across volume, velocity, variety, and veracity.

Amazon Kinesis

Use Amazon Kinesis for real-time big data processing and QuickSight for visualization and queries.

Scala

Gain foundational knowledge of Scala and its development tooling for big data applications.

Hadoop

Master the Hadoop ecosystem (Yarn, MapReduce, Pig, Hive, HBase, ZooKeeper, Oozie, Sqoop, Flume).

Solutions

Implement hands-on data solutions across diverse business applications.

Business Objectives

Build secure, scalable Snowflake solutions to drive business objectives.

Design and manage

Azure data storage and processing solutions using Cosmos DB, SQL Database, Synapse Analytics, Data Lake, Data Factory, Stream Analytics, Databricks, and Blob Storage.

Apply program knowledge

to create industry-ready data engineering products using AWS EMR and other tools.

18+ Skills Covered

  • Data Analysis & Statistics: Exploratory Data Analysis, Descriptive & Inferential Statistics
  • Machine Learning: Model Building, Supervised & Unsupervised Learning, Ensemble Learning, Model Training, Optimization, Evaluation, and Validation
  • Deep Learning & AI: Deep Learning, Generative AI, Reinforcement Learning, Natural Language Processing, Computer Vision, Speech Recognition
  • AI Techniques & Tools: Prompt Engineering, Explainable AI, Data Visualization, Machine Learning Algorithms, Fine-Tuning

An Engaging Learning Journey

Experience a collaborative classroom setting by connecting with peers and engaging with mentors in real time via Slack.

microsoft ai engineer

What Will You Learn?

  1. Program Induction

    Course 1

  2. Programming Refresher

    Course 2

  3. Data Management Using SQL

    Course 3

  4. Python for Data Science (IBM)

    Course 4

  5. Applied Data Science with Python

    Course 5

  6. Machine Learning

    Course 6

  7. Deep Learning Specialization

    Course 7

  8. Essentials of Generative AI, Prompt Engineering & ChatGPT

    Course 8

  9. Generative AI for Data Professionals

    Course 9

  10. Generative AI Skills for Data Scientists (IBM)

    Course 10

  11. Capstone Project

    Course 11

  12. Industry Masterclass by IBM

    Elective

  13. R Programming for Data Science course by IBM

    Elective

  14. Data Visualization using Power BI

    Elective

  15. Advanced Deep Learning & Computer Vision

    Elective

  16. Natural Language Processing

    Elective

  17. Data Ethics

    Elective

Learning Path
Professional Certificate Program in Data science and generative ai

Who Should Enroll in this Program?

This program is designed for working professionals across industries, bringing diverse perspectives that enrich class interactions. It is well-suited for both new and experienced professionals aiming to build careers in data science and generative AI. Ideal candidates include those with an analytical mindset from any educational background, such as:


IT professionals

Software Developers

Analytics Professionals

Product Managers

Business Analysts

Technology Consultants

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Prerequisites

  • High School Diploma or Bachelor’s degree (or equivalent)
  • Basic knowledge of programming and mathematics
  • Preferably 2+ years of professional experience (not mandatory)

Frequently Asked Question

certification training

Need a Custom In-company or Group Training?

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Fill out the form below, and our corporate training experts will design the perfect solution for you.

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Need a Custom In-company or Group Training?

Request for in-company training program tailored specifically to your team. We offer flexible customization options to align with your business goals, alongside competitive group rates for larger teams. Fill out the form below, and our corporate training experts will design the perfect solution for you.