Python & GenAI for Advanced Analytics: Build Powerful Models
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- At udemy.com you can purchase Python & GenAI for Advanced Analytics: Build Powerful Models for only $13.99
- The lowest price of Python & GenAI for Advanced Analytics: Build Powerful Models was obtained on June 10, 2025 8:52 am.
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Python & GenAI for Advanced Analytics: Build Powerful Models
$49.99
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Python & GenAI for Advanced Analytics: Build Powerful Models
★★★★★
$13.99
in stock
Udemy.com
as of June 10, 2025 8:52 am
Master Python & AI: Data Generation, Predictive Modeling, and Advanced Analytics Insights

Created by:
Skool of AI
Unlock Your AI Potential
Unlock Your AI Potential
Rating:4.03 (54reviews)
15720students enrolled
What Will I Learn?
- Master Python programming fundamentals and advanced concepts specifically tailored for AI and data analytics applications.
- Understand and implement various types of Generative AI models, with a focus on Generative Adversarial Networks (GANs).
- Apply Generative AI techniques to real-world analytics problems, including data augmentation, text analysis, and image processing.
- Develop and optimize predictive models using Generative AI, demonstrated through a practical stock market trend prediction project.
- Utilize essential Python libraries for data manipulation, visualization, and machine learning in the context of Generative AI workflows.
- Implement advanced data preparation techniques and overcome common challenges in training and fine-tuning Generative AI models.
- Critically evaluate the performance and ethical implications of Generative AI models in various analytical scenarios.
- Create end-to-end analytics solutions that integrate Generative AI to derive deeper insights and make data-driven decisions.
Requirements
- Basic Python programming knowledge
- Familiarity with fundamental data analysis concepts
- Understanding of basic statistics and linear algebra
- Computer with internet access and ability to install software
- Recommended: 8GB RAM or more
- Curiosity about AI and willingness to learn challenging concepts
Target audience
- Data scientists looking to expand their skillset into Generative AI
- Machine learning engineers wanting to specialize in advanced analytics
- Business analysts seeking to leverage AI for deeper insights
- Software developers interested in AI and data science applications
- Graduate students in computer science, statistics, or related fields
- AI enthusiasts with basic Python knowledge ready for advanced concepts
- Professionals in finance, healthcare, or tech industries aiming to implement AI-driven analytics
- Researchers exploring the potential of Generative AI in their work
- Entrepreneurs looking to integrate cutting-edge AI into their products or services
- Anyone with a strong interest in the intersection of Python, AI, and data analytics, willing to tackle challenging concepts
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