Data Scientist Bootcamp with AI
1.250,00 EUR
- 240 hours
This data science bootcamp is a comprehensive online training program designed to help aspiring professionals build job-ready skills in Data Science, Machine Learning, Generative AI, and analytics. The course combines live instructor-led sessions, hands-on labs, real-world projects, and capstone assignments to provide practical exposure to modern data science workflows.
Key Features
Course and material in English
Beginner - Advanced level for aspiring professional
11 months long live online bootcamp and eLearning (self-paced)
200+ hours live instructor-led class
23 hours eLearning video content
1 year access to eLearning & class recordings
240 hours study time recommendation
Integrated labs for hands-on learning experience
12+ real-world industry projects
Bonus Microsoft courses
Certification for each courses and Bootcamp certification upon completion
Learning Outcomes
At the end of this Data Scientist Bootcamp, you will be able to:
GenAI
Understand Generative AI concepts including neural networks, GANs, and transformers
Data
Learn data structures, data manipulation, and preprocessing techniques
Machine Learning
Build supervised and unsupervised machine learning models
SQL
Apply regression, classification, clustering, and dimensionality reduction methods
PowerBI
Visualize data and create interactive dashboards using Power BI
Deep Learning
Develop expertise in Deep Learning, MLOps, Azure ML, and Fabric ML
Prompt Engineer
Explore prompt engineering, LLMs, RAG, conversational AI, and chatbots
NumPy & Scikit
Use NumPy and Scikit-learn for mathematical and analytical computing
Keras & TensorFlow
Build and optimize deep learning models with Keras and TensorFlow
Projects
Learn Python, SQL, statistics, machine learning, and applied data science through practical projects
Learning Path
Python Refresher (with AI)
Course 1
SQL Certification Course
Course 2
Advanced Statistics
Course 3
Applied Data Science with Python
Course 4
Machine Learning using Python
Course 5
Deep Neural Networks (TensorFlow, Keras, Pytorch)
Course 6
Data Scientist Capstone
Course 7
Master in Generative AI
Elective 1
Machine Learning for AI in Microsoft Fabric
Elective 2
Applied ML Ops
Elective 3
End-to-End MLOps With Azure Machine Learning
Elective 4
Microsoft Power BI With AI Assistance
Elective 5
Projects

Tools Covered
- Python
- Scikit Learn
- PowerBI
- Numpy
- PyTorch
- Pandas
- Seaborn
- SciPy
- MySQL
- Matplotlib
- TensorFlow
- Keras
Skills Covered
- SQL and Database Management
- Core Python Programming
- Data Analysis and Data Manipulation
- Exploratory Data Analysis (EDA)
- Descriptive and Inferential Statistics
- Explainable AI and Conversational AI
- Large Language Models (LLMs)
- Model Development and Fine-Tuning
- Ensemble Learning Techniques
- Data Visualization
- Deep Learning Frameworks
- Supervised and Unsupervised Learning
- Generative AI and LLM Applications
- MLOps and AI Deployment Practices
- Applied Data Science Concepts

Who Should Enroll in this Program?
Aspiring Data Scientists and AI professionals
Software Developers transitioning into Data Science
Business Analysts and Data Analysts
IT professionals looking to upskill in AI and Machine Learning
Professionals working with data who want advanced analytical skills
Fresh graduates seeking a career in Data Science
Prerequisites
There are no strict prerequisites for joining this course. However, the following knowledge can be beneficial:
- Basic understanding of mathematics and statistics
- Familiarity with programming concepts
- Interest in analytics, AI, or Machine Learning
- Prior exposure to Excel or databases is helpful but not mandatory
- The course includes foundational modules such as Python refresher and SQL basics, making it beginner-friendly.
Statements
Licensing and accreditation
Data Scientist Bootcamp is offered according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC 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 Questions

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