Elevate Your AI Skills with a Free Certification Course

Take your AI skills to the next level with the Associate Engineer in AI Certification Course: a practical intermediate-level program designed to help you develop real-world expertise in machine learning, deep learning, and AI agent development. Whether you’re an aspiring AI engineer, a data science professional, or a developer looking to enhance your skills, this course provides a solid foundation in advanced AI techniques and highly sought-after tools like TensorFlow and PyTorch.

We start with Feature Engineering and Model Evaluation, where you will learn to prepare data for machine learning, extract meaningful features, and evaluate model performance using metrics like accuracy, recall, F1 score, and ROC-AUC. These skills are essential for building accurate, reliable, and production-ready models. Next, we tackle Advanced Machine Learning Algorithms, where you’ll explore real-world implementations of decision trees, random forests, gradient boosting, XGBoost, and ensemble learning, understanding when and how to apply each algorithm based on the type of data and the problem at hand.

Delving into Neural Networks and Deep Learning Fundamentals, you will gain a clear understanding of perceptrons, activation functions, backpropagation, and network architectures. This section lays the groundwork for you to construct your own deep learning models from scratch. Following that, in the ML Algorithms and Implementations section, you’ll gain hands-on experience programming a variety of algorithms from the ground up. This will reinforce both your theoretical and practical understanding of the most popular models while boosting your Python proficiency and mathematical reasoning. Concluding with AI Agents for Beginners, you’ll understand the role of AI agents in decision-making, planning, and task automation, with current examples like chatbots and multi-agent coordination.

By the end of the course, you will be able to build and deploy advanced ML models, understand the mathematics and code behind neural networks, confidently use TensorFlow and PyTorch, work with practical concepts and applications of AI agents, and prepare for more specialized AI roles or certifications. Whether you’re looking to land a job as a Machine Learning Engineer, AI Developer, or simply deepen your understanding of artificial intelligence, this course gives you everything you need to succeed. Join thousands of students and earn your Associate Engineer in AI Certificate today—the next step to becoming a full-stack AI engineer!

What you will learn:

• Perform advanced feature engineering for machine learning models.
• Evaluate model performance using precision, recall, F1, and AUC.
• Apply algorithms like decision trees, random forests, and gradient boosting.

Course Content:

• Sections: 9
• Lectures: 143
• Duration: 21h 0m

Requirements:

• Basic knowledge of programming in Python, including functions, loops, and data structures.
• Completion of an introductory data science course or beginner AI course.

Who is it for?

• Aspiring AI engineers ready to go beyond the basics.
• Software developers looking to transition into AI or enhance their machine learning skills.
• Junior data analysts or data scientists seeking to specialize in AI-driven solutions.
• Students in computer science or related fields wanting hands-on experience with real-world machine learning frameworks.
• Tech professionals wanting to build an intermediate AI project portfolio.
• Product managers and tech leads needing a deeper understanding of AI model training, evaluation, and deployment.

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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