Master Python & Generative AI for Advanced Analytics

Focused View

Skool of AI

3:43:43

0 View

1 - Foundational Concepts of Generative AI

1 - Course Outline and Goal.mp4

03:50

2 - Introduction to Generative AI.mp4

01:46

3 - Applications in Advanced Analytics.mp4

03:45

4 - Different types of Generative Models.mp4

03:20

5 - Generative AI vs Traditional ML.mp4

03:45

6 - Course Structure and Learning Objectives.mp4

02:23

2 - Python Programming for Generative AI

7 - Python for Generative AI Workflows.mp4

09:55

8 - Setting Up the Environment.mp4

04:25

3 - Core Python Programming Concepts

9 - Variables and Data types.mp4

04:40

10 - Data Structures in Python.mp4

08:48

11 - Control flows in python.mp4

06:30

12 - Functions in Python.mp4

02:11

13 - Object Oriented Programming in Python.mp4

05:11

14 - Regular Expressions in Python.mp4

05:25

15 - Modules in Python.mp4

06:30

16 - File Handling in Python.mp4

03:25

17 - Error Handling in Python.mp4

03:30

4 - Essential Python Libraries for Generative AI

18 - Essential Python Libraries for Generative AITheory.mp4

09:22

19 - Data manipulation.mp4

04:45

20 - Data visualization.mp4

04:48

21 - Image Processing.mp4

04:47

22 - Machine Learning tools.mp4

05:06

23 - Model Building and Training.mp4

08:17

5 - Model Building and Training

24 - Data Wrangling for Python Part 1.mp4

02:57

25 - Data Wrangling for Python Part 2.mp4

04:10

26 - Advanced Python Concepts.mp4

06:25

27 - Generative AI Libraries.mp4

05:20

6 - Building Generative Models

28 - Understanding Generative Adversarial Networks.mp4

05:02

29 - Constructing Your First GAN with Python.mp4

08:40

30 - Model Training and Optimization Techniques.mp4

08:00

31 - Troubleshooting Training Challenges.mp4

07:50

32 - Understanding Model Performance.mp4

04:15

7 - Generative AI Applications for Advanced Analytics

33 - Data Generation.mp4

04:25

34 - Augmentation for Improved Analysis.mp4

03:15

35 - Advanced Text Analysis with Generative AI.mp4

03:30

36 - Generative AI for Images Signals.mp4

03:30

37 - 75Predictive Analytics with Generative AI.mp4

03:00

38 - Analytics Insights with Generative AI.mp4

03:55

39 - Applications of Generative AI in Advanced Analytics.mp4

02:04

8 - Project Title Generative AIpowered Stock Market Trend Prediction

40 - 81Data Collection Preprocessing.mp4

09:36

41 - 82Model Building.mp4

04:56

42 - 83Data Generation Trend Analysis.mp4

02:05

43 - Evaluation.mp4

03:41

9 - Conclusion

44 - Course Recap and Key Learnings.mp4

02:37

45 - The Future of Generative AI and Impact on Advanced Analytics.mp4

05:05

46 - Additional Resources and Learning Paths.mp4

03:01

Description

Master Python and Generative AI to enhance your skills in advanced analytics

What You'll Learn?

Understand the core concepts and applications of Generative AI.
Master Python programming for building AI-driven analytical models.
Implement Generative Adversarial Networks (GANs) in Python.
Learn data augmentation techniques for advanced analytics.
Explore text analysis and processing with Generative AI tools.
Apply image processing techniques using Python and AI libraries.
Optimize model performance through training and troubleshooting.
Use Python libraries for data manipulation and visualization.
Develop predictive models using AI-driven insights.
Gain practical experience with real-world projects in analytics.

Who is this for?

Data analysts looking to expand their AI skills

Python developers interested in advanced analytics

Machine learning enthusiasts seeking practical AI applications

Students of data science and AI

Professionals aiming to integrate AI into their workflows

Beginners with basic Python knowledge wanting to explore AI

What You Need to Know?

Basic understanding of Python programming

Familiarity with machine learning concepts is helpful but not required

Access to a computer with Python installed

Willingness to learn

More details

Description
Unlock the power of Python and Generative AI in advanced analytics with this comprehensive course designed for data enthusiasts, analysts, and developers. This course will equip you with the skills to harness the latest in AI technology, allowing you to build and apply generative models for tasks like data augmentation, text analysis, image processing, and predictive modeling.
Starting with the foundational concepts of Generative AI, you will explore various types of generative models and understand their applications in real-world analytics. As you move through the course, you will delve into Python programming concepts essential for working with AI, covering data manipulation, visualization, and machine learning libraries.
The course also includes hands-on projects such as constructing Generative Adversarial Networks (GANs) and using them for stock market trend predictions. Youâ€™ll gain in-depth knowledge of data preparation, model training, optimization techniques, and troubleshooting strategies for achieving high-performance models.
By the end of this course, you will be equipped with the knowledge to apply generative AI techniques in various fields, enhancing your data analysis capabilities and leveraging AI for predictive insights and improved data-driven decisions.
Whether you're a beginner or an experienced programmer, this course is tailored to help you master advanced Python and generative AI for your analytics needs!
Who this course is for:
Data analysts looking to expand their AI skills
Python developers interested in advanced analytics
Machine learning enthusiasts seeking practical AI applications
Students of data science and AI
Professionals aiming to integrate AI into their workflows
Beginners with basic Python knowledge wanting to explore AI

User Reviews

Rating

average 0

Total votes0

Focused display

Python

Skool of AI

Instructor's Courses

We are a team of AI experts, engineers, researchers and enthusiastic professionals who are passionate about advancing artificial intelligence and teaching others. With over 50 years of combined experience building AI systems for a diverse range of industries, our goal is to share this collective knowledge with students who want to learn both the fundamentals and practical application of AI. Our courses are led by multiple instructors, allowing students to gain exposure to our varied areas of specialty - from machine learning to natural language processing to robotics and beyond. With a hands-on, project-driven approach grounded in ethics, we prepare students to apply AI to drive innovation. Join us if you share our excitement for AI and its vast potential!

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.