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Introduction to Artificial Intelligence: From Zero to AI Hero (Kurs)

Master AI fundamentals, machine learning, deep learning, NLP, computer vision, generative AI, and AI ethics with hands-on projects and real-world applications.

Wszystkie poziomy • 40 Wykłady • Dożywotni dostęp

Sprawdzony Mistrz Instruktor

Introduction to Artificial Intelligence: From Zero to AI Hero
PRZYCZEPA
Poznaj swojego instruktora: Veloxa Labs

19 ms

5.0 / 5.0
Globalna ocena
1
Aktywni studenci
Angielski amerykański
Napisy w 99 językach
5 godz. 15 min
Całkowita zawartość

Czego się dowiesz

Comprehensive understanding of AI fundamentals, history, and the modern AI ecosystem including algorithms, data infrastructure, and computational requirements
Practical skills in supervised, unsupervised, and reinforcement machine learning with hands-on algorithm implementation
Deep mastery of neural network architectures including CNNs, RNNs, LSTMs, GRUs, and the revolutionary Transformer architecture
Professional-level computer vision capabilities: image classification, object detection with YOLO and SSD, and image segmentation techniques

Treść kursu

9 sekcji • 40 wykłady • 05:15:48 długość całkowita

What is Artificial Intelligence History and Evolution

04:21

Types of AI Narrow, General, and Super AI

07:56

The AI Ecosystem Algorithms, Data, and Compute

07:17

Setting Up Your AI Development Environment

06:58

About Course and Us

01:18

Data Preprocessing, Feature Engineering, and Model Evaluation

08:38

Introduction to Machine Learning Supervised, Unsupervised, and Reinforcement Learning

08:06

Regression Algorithms Linear, Polynomial, and Logistic

07:40

Classification Algorithms SVM, KNN, Naive Bayes, and Decision Trees

09:36

Ensemble Methods Random Forest, Gradient Boosting, XGBoost

08:18

Why Repetition is Matters? Why its Important ?

08:47
Tygodniowy Plan Nauki
Zaplanuj swoją naukę
AI tworzy spersonalizowany harmonogram na podstawie dostępności

Wymagania

Basic computer literacy and familiarity with using web browsers, installing software, and navigating file systems

Fundamental mathematics: high school-level algebra, basic statistics (mean, standard deviation, probability), and introductory calculus concepts

Basic programming knowledge in Python is strongly recommended; familiarity with variables, functions, loops, and libraries like NumPy will accelerate

Access to a computer with minimum 8GB RAM; a modern GPU is beneficial for deep learning modules but not mandatory (cloud alternatives provided)

Grupa docelowa

Complete beginners curious about artificial intelligence who want a structured, comprehensive introduction without overwhelming technical barriers

Software developers and engineers looking to transition into AI/ML roles or integrate intelligent features into existing applications

Data analysts and data scientists seeking to deepen their understanding of modern deep learning and generative AI techniques

Technology managers, product managers, and executives who need to understand AI capabilities, limitations, and strategic implications

O tym kursie

Welcome to the most comprehensive and up-to-date introduction to Artificial Intelligence. This

course is meticulously designed to take you from absolute beginner to a confident AI practitioner,

equipped with the knowledge and skills demanded by today's rapidly evolving technological

landscape. Whether you are a student exploring career opportunities, a professional seeking to

upskill, or an enthusiast fascinated by the world of intelligent machines, this course provides the

perfect foundation.

Artificial Intelligence has transitioned from science fiction to the driving force behind modern

innovation. From the recommendation algorithms powering Netflix and Amazon to the autonomous

vehicles navigating our roads, from medical diagnosis systems saving lives to generative AI tools

transforming creative industries, AI is reshaping every aspect of human civilization. Understanding AI

is no longer optional; it is essential for anyone looking to thrive in the 21st century.

This course covers the complete AI spectrum: foundational concepts, classical machine learning

algorithms, deep learning architectures, computer vision techniques, natural language processing,

reinforcement learning, generative AI, and the critical topics of AI ethics and governance. Every

module is crafted with precision, incorporating the latest developments through 2026, including the

newest large language models, multimodal AI systems, and regulatory frameworks.

Beyond theory, this course immerses you in real-world applications through detailed case studies

from the UK's National Health Service, Australia's agricultural sector, the USA's autonomous vehicle

industry, and Asia's financial technology landscape. You will also discover advanced tricks and tips

used by industry professionals to optimize, deploy, and maintain AI systems at scale.

Możliwości Kariery i Stanowiska Docelowe

Zdobądź praktyczne umiejętności i kwalifikuj się na kluczowe stanowiska na świecie

Program Gotowy do Pracy
Stanowiska, na które możesz aplikować

Full Stack Software Engineer

Backend Systems Developer

Frontend Application Specialist

Automation & Scripting Engineer

Szacowane Wynagrodzenie Roczne
$90,000 – $145,000 / yr
Globalne Zapotrzebowanie Rynkowe

High Global Tech Demand

Kluczowe Umiejętności, które Zdobędziesz
Production Code Architecture
RESTful & Modern API Design
State Management & UI Scaling
Debugging & Automated Testing
* Szacunki oparte na globalnych raportach płacowych branży technologicznej.
Poznaj swojego instruktora
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Plan osobisty Lucebra
Veloxa Labs
Główny Instruktor

Veloxa Labs develops training programs for IT professionals, cybersecurity practitioners, students, engineers, analysts, auditors, administrators, managers, and professionals preparing for recognized technical and security certifications. Its courses are structured to combine essential theory with practical technology concepts, real-world scenarios, professional best practices, and certification-focused learning.


The academy places strong emphasis on helping learners understand both the technical and management dimensions of modern information technology and cybersecurity. Course content is designed to strengthen knowledge of security, IT governance, auditing, risk management, compliance, infrastructure, business resilience, systems management, and enterprise technology operations.


Through structured professional training, VeloxaLabs aims to support learners in developing the knowledge required to evaluate technology risks, assess organizational controls, strengthen governance and security practices, prepare for professional certification examinations, and progress into IT audit, cybersecurity, risk, compliance, and technology-management roles.


By combining accessible technical education with realistic professional scenarios, VeloxaLabs seeks to make advanced technology and cybersecurity knowledge practical, understandable, and relevant to professionals working in today's rapidly evolving digital environment.

...

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