Elevate Your Skills in AI Engineering with This Free Course

Dive into the realm of advanced AI engineering with the Professional Certification Course in AI Engineering — your comprehensive guide to mastering deep learning, model optimization, transformer architectures, AI agents, and MLOps. This expert-level program is designed for learners ready to transition from theory to production, building state-of-the-art AI systems using concrete tools and frameworks.

You will begin with Model Tuning and Optimization, learning to adjust hyperparameters utilizing Grid Search, Random Search, and Bayesian Optimization. Discover the impact of regularization, cross-validation, and automated optimization pipelines — essential for enhancing the accuracy and efficiency of your models. Then, you will gain a deep understanding of Convolutional Neural Networks (CNNs), the pillars of computer vision, constructing CNNs from scratch and applying them to image classification and object detection tasks using TensorFlow and PyTorch.

Prepare to explore the jewel of modern AI: Transformers and Attention Mechanisms. Uncover how self-attention, multi-head attention, and positional encoding fuel models like BERT, GPT, and T5, while constructing transformer models from the ground up. You will also master Transfer Learning and Fine-Tuning, adapting powerful pre-trained models to specific tasks, thereby saving time and data. With a comprehensive overview of AI Agents, you will explore the architectures of autonomous agents and learn how they are used in decision-making, real-time applications, and simulations. By the end of this course, you will have the skills to optimize and deploy deep learning models in production, design AI agents, and apply best practices in MLOps for large-scale AI deployments.

What you will learn:

• Adjust and optimize machine learning models with advanced techniques
• Build and train CNNs for image classification and computer vision tasks
• Develop RNNs, LSTMs, and GRUs for time series and sequence modeling
• Understand and implement transformers and attention mechanisms
• Apply transfer learning to fine-tune powerful pre-trained models
• Design and analyze AI agents for autonomous decision-making
• Utilize TensorFlow and PyTorch for deep learning projects

Course Content:

• Sections: 9
• Lectures: 65
• Duration: 15h 48m

Requirements:

• Have completed an introductory or intermediate course in AI or machine learning (or have equivalent knowledge)
• Solid understanding of Python programming, with experience in functions, classes, and libraries like NumPy and Pandas
• Good grasp of fundamental machine learning concepts, including regression, classification, model evaluation, and overfitting
• Familiarity with the basics of deep learning, including neural networks and foundational model architectures
• Prior experience with tools like Jupyter Notebook, TensorFlow or PyTorch
• Practical knowledge of mathematics for AI, including linear algebra, probability, and calculus
• A computer (Windows, macOS, or Linux) with a reliable internet connection and the ability to install development tools
• Willingness to explore complex production-level systems and invest time in hands-on programming, model experimentation, and deployment workflows

Who is it for?

• AI engineers and machine learning practitioners eager to refine their expertise in model tuning, deep learning, and deployment
• Data scientists looking to specialize in deep learning architectures and real-time AI systems
• Software engineers aiming to integrate AI capabilities into full-stack applications using TensorFlow and PyTorch
• Graduate students or academic researchers transitioning to industrial AI roles
• Tech professionals wanting to master Transformers, MLOps, and AI agent frameworks to solve complex business problems
• Anyone who has completed an introductory course in AI or ML and wants to confidently create, tune, and deploy cutting-edge AI models

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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