Professional Certificate in Data Science and Generative AI
3.500,00 EUR
- 300 hours
The Professional Certificate in Data Science and Generative AI, offered by Purdue University Online, 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 Purdue University and 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.
Key Features
Course and material are in English
in collaboration with Purdue University Online
Beginner to advanced level
6 months of live classroom by Purdue faculty
(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
Networking benefits via Purdue’s Alumni Association
Program completion certificate from Purdue University Online.
Industry-recognized IBM certificates for IBM courses
Learning Outcomes
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
About Purdue University
Purdue University is a leading public research university known for creating practical solutions to some of today’s most pressing problems. Recognized by U.S. News & World Report as one of the top 10 Most Innovative Universities in the U.S. for four consecutive years, Purdue is at the forefront of groundbreaking research and innovation.
An Engaging Learning Journey
Experience a collaborative classroom setting by connecting with peers and engaging with mentors in real time via Slack.
Learning Path
Program Induction
Course 1
Programming Refresher
Course 2
Data Management Using SQL
Course 3
Python for Data Science (IBM)
Course 4
Applied Data Science with Python
Course 5
Machine Learning
Course 6
Deep Learning Specialization
Course 7
Essentials of Generative AI, Prompt Engineering & ChatGPT
Course 8
Generative AI for Data Professionals
Course 9
Generative AI Skills for Data Scientists (IBM)
Course 10
Capstone Project
Course 11
Academic Masterclass offered by Purdue University Online
Elective
Industry Masterclass by IBM
Elective
R Programming for Data Science course by IBM
Elective
Data Visualization using Power BI
Elective
Advanced Deep Learning & Computer Vision
Elective
Natural Language Processing
Elective
Data Ethics
Elective
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
Prerequisites
- High School Diploma or Bachelor’s degree (or equivalent)
- Basic knowledge of programming and mathematics
- Preferably 2+ years of professional experience (not mandatory)
Statements
Licensing and accreditation
Professional Certificate in Data Science and Generative AI is offered in collaboration with Purdue University according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
Purdue does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Question
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