The final courses of ‘AI Python for Beginners’, instructed by Andrew Ng, are now available for anyone curious about AI and programming with Python from the complete beginner level.
DeepLearning.AI recently announced the launch of the final courses of ‘AI Python for Beginners’. The course is taught by Andrew Ng, DeepLearning.AI founder and CEO. The course provides hands-on learning and practical projects, allowing participants to get experience coding with Python, supported by an AI companion.
The course, ‘AI Python for Beginners’, requires 4-5 hours of learning effort. By enrolling in this beginner-level course, participants will gain a foundational understanding of Python while using it to develop AI-enabled tools like smart to-do lists, custom recipe generators, and vacation planners. They will also learn essential programming concepts such as functions, loops, variables, and data structures along the way.
The course is open to individuals looking to improve their analytical skills and productivity or a developer seeking to add Python experience to level up their skills
Here is what you can learn in the new courses:
- Use Python to read data from documents, store it, and evaluate it with artificial intelligence (AI) to find key insights, like identifying restaurant names in food blogs.
- Python can be used to automate repetitive data analysis processes, and the findings can be saved directly to your computer.
- To make your programming more efficient, turn code blocks into reusable functions and import functions from outside libraries.
- Install third-party packages and APIs to expand Python’s functionality and increase the strength and adaptability of your scripts.
AI Python for Beginners Syllabus
‘AI Python for Beginner’ is divided into four courses –
Course 1: Basics of AI Python Coding
Course 2: Automating Tasks With Python
Course 3: Working With Your Own Data and Documents in Python
Course 4: Extending Python With Packages and APIs
Skills You Will Gain
By enrolling in ‘AI Python for Beginners’, you will gain a variety of skills. These skills include Python Programming, AI-Assisted Coding, Effective LLM Prompts, Data Structures, Function Creation, Variable Management, Debugging, File Handling, and API Interaction.
Check out the course here