Generative AI Masters 2026 – From Python to Gen AI
Coupon Verified on March 7th, 2026
Students : 24,056
Duration : 48 hours
Avg Rating : 4.2
Original Price : $119.99
Discount Price : 100%OFF
Instructor / Provider : Udemy
Course Type : Self Paced Online Course. Lifetime Access
Coupon : Click on ENROLL NOW to apply discount code
In this course, you will explore a wide range of essential topics, including:
· Python Programming: Learn the fundamentals of Python, the go-to language for AI development, and become proficient in data manipulation using libraries like Pandas and NumPy.
· Natural Language Processing (NLP): Dive into the world of NLP, mastering techniques for text processing, feature extraction, and leveraging powerful libraries like NLTK and SpaCy.
· Deep Learning and Transformers: Understand the architecture of Transformer models, which are at the heart of many state-of-the-art AI applications. Discover the principles of deep learning and how to implement neural networks using TensorFlow and PyTorch.
· Large Language Models (LLMs): Gain insights into LLMs, their training, and fine-tuning processes. Learn how to effectively use these models in various applications, from chatbots to content generation.
· Retrieval-Augmented Generation (RAG): Explore the innovative concept of RAG, which combines retrieval techniques with generative models to enhance AI performance.
· Prompt Engineering: Master the art of crafting effective prompts to improve the interaction with LLMs and optimize the output for specific tasks.
· Vector Databases: Discover how to implement and utilize vector databases for storing and retrieving high-dimensional data, a crucial skill in managing AI-generated content.
Who this course is for:
- Individuals passionate about AI and ML who want to expand their knowledge and skills in generative AI applications.
- Professionals looking to enhance their expertise in building and deploying generative AI models
- Developers interested in integrating advanced AI capabilities into their applications and learning about the deployment and optimization of AI models.
