This AI & ML Full Course 2026 by Edureka is a complete learning program designed for beginners and professionals who want to build expertise in artificial intelligence and machine learning. The course provides both theoretical understanding and practical implementation using Python and real-world examples.
The course begins with an introduction to artificial intelligence, explaining AI concepts, types of AI, and the differences between AI, machine learning, and deep learning. Learners then explore how Python is used in AI development and data-driven applications.
A major section of the course focuses on machine learning algorithms, including linear regression, logistic regression, decision trees, random forests, K-nearest neighbors, Naive Bayes, support vector machines, clustering algorithms, and Apriori algorithms. These topics help learners understand supervised and unsupervised learning techniques.
The course also covers deep learning concepts such as artificial neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and LSTM architectures. Advanced topics include transformers and generative adversarial networks (GANs), which are widely used in modern AI systems.
Students will gain practical insights into model building, AI workflows, and real-world AI applications. The course also explores the future of AI and machine learning, helping learners understand current trends and emerging technologies.
Finally, learners prepare for AI and ML job roles through interview questions and career-focused discussions, making this course valuable for students, developers, and aspiring AI engineers.
By the end of the course, learners will have a strong understanding of artificial intelligence, machine learning algorithms, deep learning architectures, and practical AI development skills.
