The AI-ML Engineer Learning Path provides a structured, hands-on curriculum designed to develop expertise in artificial intelligence and machine learning. This path covers foundational principles, model-building, and advanced AI techniques, preparing learners to create, train, and deploy machine learning models across cloud platforms. You’ll delve into neural networks, deep learning, NLP, computer vision, and more, gaining real-world experience with key tools and frameworks.

What You’ll Learn

• Core AI/ML Foundations: Understand the principles of AI, machine learning, and data science, including supervised and unsupervised learning.
• Deep Learning & Neural Networks: Gain hands-on experience with neural network architectures and deep learning techniques for building complex models.
• Natural Language Processing: Explore the fundamentals of NLP to work with text data, including tokenization, sentiment analysis, and language modeling.
• Computer Vision: Learn to build and train models for image recognition and object detection using popular frameworks.
• Data Engineering for AI: Develop data wrangling, preprocessing, and visualization skills essential for effective AI model development.
• Model Deployment & Optimization: Understand best practices for deploying ML models on cloud platforms, and optimize models for real-world applications.

Who Should Enroll

This learning path is ideal for data scientists, engineers, and software developers seeking to transition into AI-ML roles. Professionals interested in building scalable AI solutions will find this course beneficial, whether they are new to machine learning or enhancing their existing knowledge.

Key Features

• Hands-on Labs: Practice with real-world data and develop models in guided labs across AWS, Azure, and Google Cloud.
• Industry-Relevant Tools: Gain experience with frameworks like TensorFlow, PyTorch, and scikit-learn, commonly used in AI and ML.
• Certification Preparation: Courses align with industry certifications in AI/ML, helping you validate your skills with recognized credentials.

Embark on the AI-ML Engineer Learning Path to gain the skills needed for a rewarding career in artificial intelligence and machine learning.