Udemy – Certified Artificial Intelligence Developer Program 2024-7

Udemy – Certified Artificial Intelligence Developer Program 2024-7 Downloadly IRSpace

Apr 18, 2025 - 05:24 Updated: Apr 21, 2025 - 11:48

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Udemy – Certified Artificial Intelligence Developer Program 2024-7

Certified Artificial Intelligence Developer Program course. This training course will take you on a transformative journey in the world of artificial intelligence. The Certified Artificial Intelligence Developer program is designed to meet the dynamic needs of the industry and provide you with the skills and knowledge you need to succeed as an artificial intelligence developer. This course takes you from the basics of AI to the intricacies of building, training, and optimizing AI models on labeled and unlabeled data. For both beginners and seasoned professionals, this course offers a self-directed learning path that combines advanced knowledge with practical application.

In addition, our course includes practical exercises and lab sessions to ensure you can effectively understand and implement concepts and solve real-world problems. These skills will help you ace machine learning interviews and land your dream job. Key outcomes of the course include developing image recognition systems and computer vision programs, creating your own custom recommender engine.

What you will learn in the Certified Artificial Intelligence Developer Program

The skills employers are looking for will help you ace machine learning interviews and land your dream job.
From Zero to Hero in Python, Seaborn, Matplotlib, Scikit-Learn, SVM, Unsupervised Machine Learning
Discover new ways to use LLMs, including how to build your own chatbot
Using dense and recurrent neural networks, LSTM, GRU and Siamese networks in TensorFlow and Trax to perform advanced sentiment analysis
Comparison of generative models, use of FID method to evaluate fidelity and diversity of GAN, learning to detect bias in GAN and implementation of StyleGAN techniques
Different ML modeling such as supervised machine learning modeling, unsupervised machine learning modeling, reinforcement learning machine modeling

This course is suitable for people who

Beginner to Intermediate: People new to AI, machine learning, and data science build a solid foundation and delve into advanced concepts.
Professional Developers: Software engineers looking to expand their skill sets to include artificial intelligence and machine learning to create intelligent applications and solutions.
Data Analysts: People who work with data and want to learn how to use artificial intelligence to extract deeper insights and build predictive models.
Business leaders and managers: Professionals seeking to understand the strategic implications of AI and how to use it to gain a competitive advantage in their industry.
Academic Students: Undergraduate or graduate students in computer science, engineering, or related fields who are looking to supplement their academic knowledge with practical AI skills.
Startup Founders: Entrepreneurs looking to build AI-based products or startups and need a comprehensive understanding of how to develop and implement AI technologies.