New course by Andrew Ng: AI Python for Beginners

DeepLearningAI · Beginner ·🧠 Large Language Models ·1y ago

Key Takeaways

The video introduces AI Python for Beginners, a new course by Andrew Ng that teaches the basics of computer programming and leverages the power of Python and AI tools to build practical AI applications from day one. The course uses AI in two key ways: to build AI applications by combining new AI language models with Python coding, and as a tool to support learning through a chatbot companion.

Full Transcript

I'm delighted to introduce AI python for beginners a new course that'll teach you the basics of computer programming learning to code has traditionally been a really timeconsuming effort requiring many hours to progress through basic concepts before you can build something useful but AI chat Bots are changing the way that people write code and for a beginner it's now possible to get to the point where you can create useful applications much more quickly AI tools also let you carry out Advanced tasks with just a few lines of code and this is the potential to transform your daily work and life coding is no longer just for people that want to be professional software Engineers so this course is for you whether or not that is your ultimate career goal AI python for beginners will introduce you to the most important concepts of computer programming and use AI to guide you on that journey in two key ways first the course will show you how to build in AI applications by combining new AI language models like CH gpg with python coding using python to interactive AI lets you automate tasks that otherwise would be repetitive if you had to do them using a chatbot AI in your web browser it also lets you access many tools written specifically for Python and this lets you do much more than just using a chatbot interface you be able to perform mathematic operations or gather realtime information about the world from online and much more so writing codes that uses AI which you see in the examples in the course will let you build more applications that can immediately be relevant and useful to you even while you're still learning the second way the course uses AI is as a tool to support your learning chat Bots have already changed the way that professional software Engineers write code in their day-to-day work rather than spending hours reading documentation or searching the web to solve a problem software Engineers are now using AI as a coding companion to help them write codes and quickly find Solutions as a new programmer in the age of AI you learn to code python using this approach from day one using a chat bar that's built right into the course learning platform you have access to Friendly expert advice on how to solve common programming problems so you want to get your AI companion to help you understand and fix any mistakes in the code have it explain to you how cor programming Concepts work and also have it help you write code to carry out your specific task with a chat bot working alongside you you never have to write code or learn Alone by the end of this sequence of courses you have learned the Core Concepts in Python that you need to write useful AI pilot applications and you also know how you can use tools like chat GPT or other chat bot to help you code in the future you have the programing foundations you need to tackle other python or AI causes including many of the causes offered by deeplearning.ai there's never been a better time to learn to code or more opportunity for you to benefit from your new skools so if you're new to programming I hope you'll sign up for AI python for beginners and join the community of million of cod is building eii tools and applications come join in the fun [Music]

Original Description

Learn more: https://bit.ly/3WuCdKL AI Python for Beginners is designed to help you leverage the power of Python programming, even if your goal isn’t to become a software developer or AI engineer. This four-part course that teaches you to code practical AI applications from day one, even if you’ve never programmed before. You’ll learn with support from an AI chatbot that can help you get immediate feedback, quickly fix bugs, and keep you on track while learning new skills. You’ll gain a foundational understanding of Python while building AI-powered tools like custom recipe generators, smart to-do lists, and vacation planners, and learn essential programming concepts such as variables, functions, loops, and data structures. By the end of this course series, you’ll be able to write Python scripts that interact with large language models, automate tasks, analyze your own data, and even create simple AI agents – skills that are increasingly valuable across industries from tech and finance to healthcare and creative fields. Experience a new kind of learning with the AI chatbot integration. This intelligent assistant helps you write, test, and debug code, providing instant feedback and personalized guidance, making sure you’re never coding alone. With the rise of AI tools, the effort and time required to learn heplful coding skills has significantly decreased, making it more accessible and beneficial for everyone. Learn more: https://bit.ly/3WuCdKL
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10 Gradient Checking Implementation Notes (C2W1L14)
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11 Learning Rate Decay (C2W2L09)
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12 Understanding Mini-Batch Gradient Dexcent (C2W2L02)
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13 Mini Batch Gradient Descent (C2W2L01)
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14 The Problem of Local Optima (C2W3L10)
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15 Exponentially Weighted Averages (C2W2L03)
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16 Tuning Process (C2W3L01)
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17 Understanding Exponentially Weighted Averages (C2W2L04)
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18 Bias Correction of Exponentially Weighted Averages (C2W2L05)
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19 Gradient Descent With Momentum (C2W2L06)
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20 Normalizing Activations in a Network (C2W3L04)
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21 Hyperparameter Tuning in Practice (C2W3L03)
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22 Adam Optimization Algorithm (C2W2L08)
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23 RMSProp (C2W2L07)
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24 Fitting Batch Norm Into Neural Networks (C2W3L05)
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26 Batch Norm At Test Time (C2W3L07)
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27 Softmax Regression (C2W3L08)
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28 Deep Learning Frameworks (C2W3L10)
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29 Neural Network Overview (C1W3L01)
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30 Training Softmax Classifier (C2W3L09)
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31 Why Deep Representations? (C1W4L04)
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32 Gradient Descent For Neural Networks (C1W3L09)
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33 Neural Network Representations (C1W3L02)
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34 TensorFlow (C2W3L11)
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35 Activation Functions (C1W3L06)
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36 Explanation For Vectorized Implementation (C1W3L05)
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37 Getting Matrix Dimensions Right (C1W4L03)
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38 Understanding Dropout (C2W1L07)
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39 Building Blocks of a Deep Neural Network (C1W4L05)
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40 Why Non-linear Activation Functions (C1W3L07)
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41 Computing Neural Network Output (C1W3L03)
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42 Backpropagation Intuition (C1W3L10)
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43 Train/Dev/Test Sets (C2W1L01)
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44 Deep L-Layer Neural Network (C1W4L01)
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45 Random Initialization (C1W3L11)
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46 Other Regularization Methods (C2W1L08)
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47 Normalizing Inputs (C2W1L09)
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48 Derivatives Of Activation Functions (C1W3L08)
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49 Parameters vs Hyperparameters (C1W4L07)
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50 Vectorizing Across Multiple Examples (C1W3L04)
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51 What does this have to do with the brain? (C1W4L08)
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52 Dropout Regularization (C2W1L06)
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53 Vanishing/Exploding Gradients (C2W1L10)
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54 Basic Recipe for Machine Learning (C2W1L03)
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55 Bias/Variance (C2W1L02)
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56 Forward Propagation in a Deep Network (C1W4L02)
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57 Weight Initialization in a Deep Network (C2W1L11)
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58 Numerical Approximations of Gradients (C2W1L12)
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59 Regularization (C2W1L04)
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The course AI Python for Beginners teaches the basics of computer programming and leverages the power of Python and AI tools to build practical AI applications from day one. The course uses AI in two key ways: to build AI applications and as a tool to support learning through a chatbot companion. By the end of the course, students will have learned the core concepts in Python and how to use AI tools to write useful AI applications.

Key Takeaways
  1. Sign up for the AI Python for Beginners course
  2. Learn the basics of computer programming
  3. Build AI applications by combining new AI language models with Python coding
  4. Use AI tools to support learning through a chatbot companion
  5. Write effective prompts for AI tools
  6. Leverage AI for automation
💡 AI tools can be used to support learning and automate tasks, making it possible for beginners to build useful AI applications quickly.

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