260€
Course on Artificial Intelligence, Machine Learning and Deep Learning
100% Online
3 meses
260€
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The Course on Artificial Intelligence, Machine Learning and Deep Learning is your gateway to a thriving sector brimming with opportunities. As the demand for AI expertise skyrockets across industries, this course equips you with cutting-edge skills to stay ahead. Immerse yourself in a curriculum designed to unravel the complexities of AI, offering you a comprehensive understanding of machine learning algorithms and deep learning frameworks. By participating, you position yourself at the forefront of technological innovation, ready to tackle real-world challenges with confidence. Embrace this chance to enhance your career prospects and become a sought-after professional in a field that is shaping our future.
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Para qué te prepara
This course equips you to understand and apply key concepts of Artificial Intelligence, Machine Learning, and Deep Learning. You'll be able to design and implement algorithms to solve complex problems, analyse data patterns, and improve decision-making processes. By the end, you'll confidently use AI tools and techniques, enhancing your capability to innovate and optimise solutions in your professional practice.
Objetivos
- To understand the fundamental concepts of Artificial Intelligence in depth. - To analyse various Machine Learning algorithms and their applications. - To explore the architecture and functioning of Deep Learning models. - To differentiate between supervised and unsupervised learning techniques. - To evaluate the effectiveness of predictive models in different scenarios. - To apply AI principles to solve real-world problems innovatively. - To gain insight into ethical considerations in AI development and use.
A quién va dirigido
The Course on Artificial Intelligence, Machine Learning and Deep Learning is tailored for professionals and graduates in the field eager to enhance or refresh their understanding of AI technologies. Ideal for those seeking to grasp foundational concepts and practical applications, this course offers a comprehensive introduction without delving into advanced complexities.
Salidas Profesionales
- AI Research Scientist in tech companies - Machine Learning Engineer for predictive modeling - Data Scientist specialising in data analysis - Deep Learning Specialist in autonomous systems - AI Consultant for business optimisation - NLP Engineer for language processing solutions - Robotics Engineer focusing on AI-driven automation
Temario
UNIT 1. INTRODUCTION TO ARTIFICIAL INTELLIGENCE
UNIT 2. TYPES OF ARTIFICIAL INTELLIGENCE
UNIT 3. ALGORITHMS APPLIED TO ARTIFICIAL INTELLIGENCE
UNIT 4. RELATIONSHIP BETWEEN ARTIFICIAL INTELLIGENCE AND BIG DATA
UNIT 5. EXPERT SYSTEMS
UNIT 6. FUTURE OF ARTIFICIAL INTELLIGENCE
UNIT 7. INTRODUCTION TO MACHINE LEARNING
UNIT 8. DATA STRUCTURE EXTRACTION: CLUSTERING
UNIT 9. RECOMMENDATION SYSTEMS
UNIT 10. CLASSIFICATION
UNIT 11. NEURAL NETWORKS AND DEEP LEARNING
UNIT 12. CHOICE SYSTEMS
UNIT 13. DEEP LEARNING WITH PYTHON, KERAS, AND TENSORFLOW
UNIT 14. NEURAL SYSTEMS
UNIT 15. SINGLE-LAYER NETWORKS
UNIT 16. MULTILAYER NETWORKS
UNIT 17. LEARNING STRATEGIES
Titulación
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