Practical Guide to AI & ML: Mastering Future Tech Skills

• Comprehending AI, ML, and Deep Learning: Acquire a comprehensive comprehension of the differences between AI, Machine Learning, and Deep Learning, as well as the characteristics of Large Language Models such as ChatGPT and Bard.

• Machine Learning Techniques: Acquire a comprehensive understanding of the distinctions between supervised, unsupervised, and reinforcement learning, as well as essential ML terms such as algorithms, models, labels, and features.

• Neural Networks and Data Handling: Investigate the role of neural networks as universal function approximators and comprehend the significance of encoding and decoding non-numeric data in the context of machine learning.

• Practical Application and Model Building: Utilize tools such as Microsoft Model Builder and ML.Net to observe the complete machine learning process, which encompasses data preparation, model training, and evaluation.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Udemy provided by Peter Alkema & Irlon Terblanche

Duration: 4h 50m

Schedule: Full lifetime access