Udemy – Certified AI Engineering Masterclass: From Zero to AI Hero 2024-12

Udemy – Certified AI Engineering Masterclass: From Zero to AI Hero 2024-12 Downloadly IRSpace

Aug 17, 2025 - 02:13 Updated: Aug 19, 2025 - 14:10

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Udemy – Certified AI Engineering Masterclass: From Zero to AI Hero 2024-12

Certified AI Engineering Masterclass: From Zero to AI Hero. This comprehensive training course takes participants from beginner to professional AI engineer, teaching them the skills necessary to design, train, and implement AI solutions. The program covers AI fundamentals, Python programming, data preprocessing, and machine learning principles with a step-by-step roadmap, before moving on to more advanced topics like neural networks, deep learning, natural language processing (NLP), and computer vision. Participants will be introduced to modern tools like TensorFlow, PyTorch, and Hugging Face, and gain hands-on experience solving real business problems, optimizing models, and deploying scalable solutions through hands-on projects. The course is suitable for all levels, from beginners to those looking to deepen their AI expertise.

What you will learn

Building AI Models: You will learn how to build AI models using Python, TensorFlow, and PyTorch to create intelligent systems capable of solving real-world problems.
Data Preprocessing: You preprocess, clean, and analyze complex data to ensure high-quality input for training machine learning and artificial intelligence models.
Train and optimize machine learning models: You train, evaluate, and optimize machine learning models for tasks such as regression, classification, and clustering.
Design and Implementation of Neural Networks: You design, implement, and fine-tune neural networks, including CNNs and RNNs, for advanced AI applications.
Natural Language Processing (NLP) Application: You use NLP techniques to analyze, interpret, and produce human-like text data.
Using Transfer Learning: You will learn how to adapt pre-trained AI models to new tasks, which reduces development time and resources.
Deploy AI models: Deploy AI models using scalable APIs and container tools like Docker for seamless integration into applications.
Monitor AI model performance: You monitor AI model performance, identify data deviations, and create retraining workflows for consistent reliability.
Solve real business challenges: You solve real business and technical challenges with approaches based on artificial intelligence and intelligent systems.
Develop AI projects from start to finish: You develop AI projects from ideation and prototyping to long-term deployment and maintenance.

This course is suitable for people who:

Aspiring AI Engineers: People looking to start a career in AI with practical skills and real projects.
Data scientists and analysts: Professionals who aim to expand their expertise by building and deploying AI models.
Software developers: Programmers who are eager to integrate AI capabilities into their applications and systems.
Career changers: People from non-technical backgrounds who are ready to transition into the AI industry.
Graduate students: Students in data science, computer science, or related fields who are seeking practical knowledge of artificial intelligence.
Tech Entrepreneurs: Founders and CTOs who are exploring AI for product innovation and business growth.
AI enthusiasts: Anyone interested in AI and looking to build intelligent systems from scratch.
Business professionals: Leaders who want to understand AI for strategic decision-making and organizational growth.

Course details for Certified AI Engineering Masterclass: From Zero to AI Hero

Publisher: Udemy
Instructor: Jet Drag Academy: School of AI
Training level: Beginner to advanced
Training duration: 31 hours and 9 minutes
Number of lessons: 104

Course syllabus in 2025/5

Prerequisites for the Certified AI Engineering Masterclass: From Zero to AI Hero course

Basic Programming Knowledge: Familiarity with Python is recommended but not mandatory.
Curiosity and Enthusiasm: A passion for AI and a willingness to learn are essential.
Access to a Computer: A computer with internet access and sufficient processing power for AI tasks.
No Prior AI Experience Required: The course starts from foundational concepts and gradually advances.
Basic Math Skills: Understanding high school-level math concepts (eg, algebra, basic statistics).
A Stable Internet Connection: For accessing course materials, tools, and hands-on projects.
Optional Tools: Installation of Python, Jupyter Notebook, and relevant AI libraries (guidance provided in the course).
Open Mindset: Be ready to explore, experiment, and build real-world AI applications.