Artificial Intelligence - Skill Up Plus Package
1.350,00 EUR
- 600 hours
Learn the fundamentals. Develop practical skills. Build your AI career. Build Future-Ready Skills in AI, Machine Learning, Data & Intelligent Automation with a comprehensive learning package designed to take you from foundational concepts to advanced artificial intelligence, machine learning, automation, and data analytics.
About the package
This package combines 2 intensive bootcamps, 3 live classes, 6 structured learning paths and 50+ eLearning courses, giving you multiple ways to develop and apply in-demand AI skills.
Explore in-demand technologies and advanced capabilities including AI Engineering, Generative AI, Machine Learning with Python, Deep Learning, Microsoft Copilot, Transformers, Computer Vision, Databricks, Azure Machine Learning, Enterprise AI, and Intelligent Automation.
Whether you are starting your AI journey, strengthening your data skills, or preparing to apply AI technologies in the workplace, this package provides a flexible pathway to build relevant skills across the rapidly evolving AI landscape.
Instead of only learning 3-5 courses, why not have everything you need under our AI Skill Up Plus course catalog? Learn more, save up more!
Key Features
Course and material in English
Beginner - Advanced level for aspiring professional
1 year learning platform access & class recordings
200+ hours eLearning content
400+ live class hours
Self-assign live class cohorts and courses
Dynamic and auto-update future courses
Practice projects, virtual labs and assessment included
Certification for each course completion
Exam voucher not included
Learning Outcomes
At the end of this Bootcamp, you will be able to:
Understand core AI and machine learning concepts
including neural networks, supervised learning, algorithms, and key AI methodologies.
Apply Python to machine learning
using practical techniques to develop and explore machine learning solutions.
Develop knowledge of advanced deep learning
including CNNs, RNNs, Transformers, and other neural network architectures.
Explore Generative AI technologies
including attention mechanisms, diffusion models, and modern AI tools.
Understand advanced machine learning approaches
including reinforcement learning, classification, and machine learning algorithms.
Work with modern AI and machine learning platforms
including Microsoft Azure Machine Learning and Databricks.
Design conversational AI and Copilot solutions
using Microsoft Power Platform and related intelligent automation technologies.
Apply intelligent automation and RPA concepts
to streamline business processes and automate repetitive tasks.
Understand enterprise AI and data solutions
including analytics, integration, application development, and Power Platform architecture
Build practical, career-relevant AI capabilities
that can be applied across artificial intelligence, machine learning, deep learning, data, automation, and enterprise technology environments.
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Programming Essentials
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6 Learning Paths
50+ eLearning
AI & Technology Topics
- Deep Learning Specialization – CNNs, RNNs and Transformers
- Machine Learning for Applications
- Get Started with Databricks for Machine Learning
- Copilot Studio Conversational AI Design
- Introduction to Diffusion Models
- Deep Learning Frameworks: PyTorch vs. TensorFlow
- Azure Machine Learning Basics
- Attention Mechanism
- Basics of Reinforcement Learning
- Introduction to the Latest Artificial Intelligence Tools
- Introduction to Artificial Intelligence
- Getting Started with Machine Learning Algorithms
- Introduction to Neural Network
- Introduction to Deep Learning with Keras
- Classification Models in Supervised Learning
- Encoder-Decoder Architecture
- Introduction to Long Short Term Memory – LSTM
- Machine Learning for Beginners: First Step to Become a Machine Learning Engineer
- K Means Clustering Algorithm
- Time Series Analysis for Beginners
- Power Platform – Intelligent Automation and Copilots
- Power Platform – Architecture, Apps & Automation
- Microsoft Power Platform Solution Architect (PL-600)
- Microsoft Power Platform Developer (PL-400)
- Power Platform – Robotic Process Automation Essentials
- Power Platform – Analytics, Integration and Extensibility
- Microsoft Power Platform Core Concepts and Governance
- Get Started with Databricks for Data Engineering
- Get Started with SQL Analytics and BI on Databricks
- Innovating with Google Cloud Artificial Intelligence
And many more..
Who Should Enroll in this Program?
Aspiring AI and Machine Learning professionals looking to build foundational and advanced skills.
Data analysts and aspiring data scientists who want to expand their capabilities into AI and machine learning.
Software developers and programmers interested in applying Python, AI, and machine learning techniques.
Business and technology professionals who want to leverage AI, automation, and Copilot technologies in their organizations.
Prerequisites
There are no universal prerequisites for the learning package, as it contains courses ranging from introductory to advanced levels.
However, individual courses, bootcamps, and learning paths may have their own recommended prerequisites. Depending on the selected learning activity, learners may benefit from:
- Basic computer and IT knowledge.
- Familiarity with mathematics, statistics, or data concepts.
- Basic programming knowledge, particularly Python, for machine learning and advanced AI topics.
- Prior experience with data analysis for selected data-focused programs.
- Familiarity with cloud or Microsoft technologies may be beneficial for certain Microsoft AI and Databricks courses.
Learners can start with foundational content and progress toward more advanced AI, machine learning, data analytics, and automation topics.
Explore and save up more with AVC Skill Up catalogs!
- Artificial Intelligence (2 bootcamps, 50+ courses)
- Generative AI (3 bootcamps, 180+ courses)
- Cloud Computing & DevOps (5 bootcamps, 160+ courses)
- Software Development (2 bootcamps, 90+ courses)
- Data Science & Business Analytics (1 bootcamp, 90+ courses)
- Cyber Security (3 live class, 60+ courses)
FAQ
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