DeepLearning.AI
AI is the new electricity and will transform and improve nearly all areas of human lives.

๐Ÿ’ป ย  Accessing Utils File and Helper Functions

In each notebook on the top menu:

1: ย  Click on "File"

2: ย  Then, click on "Open"

You will be able to see all the notebook files for the lesson, including any helper functions used in the notebook on the left sidebar. See the following image for the steps above.


๐Ÿ’ป ย  Downloading Notebooks

In each notebook on the top menu:

1: ย  Click on "File"

2: ย  Then, click on "Download as"

3: ย  Then, click on "Notebook (.ipynb)"


๐Ÿ’ป ย  Uploading Your Files

After following the steps shown in the previous section ("File" => "Open"), then click on "Upload" button to upload your files.


๐Ÿ“— ย  See Your Progress

Once you enroll in this courseโ€”or any other short course on the DeepLearning.AI platformโ€”and open it, you can click on 'My Learning' at the top right corner of the desktop view. There, you will be able to see all the short courses you have enrolled in and your progress in each one.

Additionally, your progress in each short course is displayed at the bottom-left corner of the learning page for each course (desktop view).


๐Ÿ“ฑ ย  Features to Use

๐ŸŽž ย  Adjust Video Speed: Click on the gear icon (โš™) on the video and then from the Speed option, choose your desired video speed.

๐Ÿ—ฃ ย  Captions (English and Spanish): Click on the gear icon (โš™) on the video and then from the Captions option, choose to see the captions either in English or Spanish.

๐Ÿ”… ย  Video Quality: If you do not have access to high-speed internet, click on the gear icon (โš™) on the video and then from Quality, choose the quality that works the best for your Internet speed.

๐Ÿ–ฅ ย  Picture in Picture (PiP): This feature allows you to continue watching the video when you switch to another browser tab or window. Click on the small rectangle shape on the video to go to PiP mode.

โˆš ย  Hide and Unhide Lesson Navigation Menu: If you do not have a large screen, you may click on the small hamburger icon beside the title of the course to hide the left-side navigation menu. You can then unhide it by clicking on the same icon again.


๐Ÿง‘ ย  Efficient Learning Tips

The following tips can help you have an efficient learning experience with this short course and other courses.

๐Ÿง‘ ย  Create a Dedicated Study Space: Establish a quiet, organized workspace free from distractions. A dedicated learning environment can significantly improve concentration and overall learning efficiency.

๐Ÿ“… ย  Develop a Consistent Learning Schedule: Consistency is key to learning. Set out specific times in your day for study and make it a routine. Consistent study times help build a habit and improve information retention.

Tip: Set a recurring event and reminder in your calendar, with clear action items, to get regular notifications about your study plans and goals.

โ˜• ย  Take Regular Breaks: Include short breaks in your study sessions. The Pomodoro Technique, which involves studying for 25 minutes followed by a 5-minute break, can be particularly effective.

๐Ÿ’ฌ ย  Engage with the Community: Participate in forums, discussions, and group activities. Engaging with peers can provide additional insights, create a sense of community, and make learning more enjoyable.

โœ ย  Practice Active Learning: Don't just read or run notebooks or watch the material. Engage actively by taking notes, summarizing what you learn, teaching the concept to someone else, or applying the knowledge in your practical projects.


๐Ÿ“š ย  Enroll in Other Short Courses

Keep learning by enrolling in other short courses. We add new short courses regularly. Visit DeepLearning.AI Short Courses page to see our latest courses and begin learning new topics. ๐Ÿ‘‡

๐Ÿ‘‰๐Ÿ‘‰ ๐Ÿ”— DeepLearning.AI โ€“ All Short Courses [+]


๐Ÿ™‚ ย  Let Us Know What You Think

Your feedback helps us know what you liked and didn't like about the course. We read all your feedback and use them to improve this course and future courses. Please submit your feedback by clicking on "Course Feedback" option at the bottom of the lessons list menu (desktop view).

Also, you are more than welcome to join our community ๐Ÿ‘‰๐Ÿ‘‰ ๐Ÿ”— DeepLearning.AI Forum


Choose Your Learning Path

Enjoy 30% Off Now. Cancel Anytime!

MonthlyYearly

Change Your Plan

Your subscription plan will change at the end of your current billing period. Youโ€™ll continue to have access to your current plan until then.

View All Plans and Features

Welcome back!

We'd like to know you better so we can create more relevant courses. What do you do for work?

DeepLearning.AI
  • Explore Courses
  • Community
    • Forum
    • Events
    • Ambassadors
    • Ambassador Spotlight
  • My Learnings

Evaluating and Debugging Generative AI
Short Course

Evaluating and Debugging Generative AI

Learn MLOps tools for managing, versioning, debugging, and experimenting in your ML workflow.

Evaluation and MonitoringFine-TuningGenerative ModelsLLMOpsMLOpsMultiModalPrompt Engineering
  • Weights & Biases
Weights & Biases
Finetuning Large Language Models
Short Course

Finetuning Large Language Models

Discover when to use finetuning vs prompting for LLMs. Select suitable open-source models, prepare data, and train & evaluate for your specific domain.

Deep LearningFine-TuningTransformers
  • Lamini
Lamini
Reinforcement Learning From Human Feedback
Short Course

Reinforcement Learning From Human Feedback

Get an introduction to tuning and evaluating LLMs using Reinforcement Learning from Human Feedback (RLHF) and fine-tune the Llama 2 model.

Fine-TuningGenerative ModelsLLMOpsTransformers
  • Google Cloud
Google Cloud
Advanced Retrieval for AI with Chroma
Short Course

Advanced Retrieval for AI with Chroma

Learn advanced retrieval techniques to improve the relevancy of retrieved results. Learn to recognize poor query results and use LLMs to improve queries.

EmbeddingsFine-TuningGenAI ApplicationsRAGSearch and Retrieval
  • Chroma
Chroma
LLMOps
Short Course

LLMOps

Learn LLMOps best practices as you design and automate steps to fine-tune and deploy an LLM for a specific task.

AI SafetyChatbotsData ProcessingEvaluation and MonitoringFine-TuningLLMOps
  • Google Cloud
Google Cloud
Efficiently Serving LLMs
Short Course

Efficiently Serving LLMs

Understand how LLMs predict the next token and how techniques like KV caching can speed up text generation. Write code to serve LLM applications efficiently to multiple users.

Fine-TuningGenerative ModelsLLMOpsLLM ServingTransformers
  • Predibase
Predibase
Prompt Engineering for Vision Models
Short Course

Prompt Engineering for Vision Models

Learn prompt engineering for vision models using Stable Diffusion, and advanced techniques like object detection and in-painting.

Computer VisionDiffusion ModelsFine-TuningGenerative ModelsPrompt Engineering
  • Comet
Comet
Pretraining LLMs
Short Course

Pretraining LLMs

Learn the essential steps to pretrain a large language model from scratch.

Deep LearningEvaluation and MonitoringFine-TuningGenAI ApplicationsLLMOpsMachine LearningMathematical FoundationsTransformers
  • Upstage
Upstage
Improving Accuracy of LLM Applications
Short Course

Improving Accuracy of LLM Applications

Systematically improve the accuracy of LLM applications with evaluation, prompting, and memory tuning.

AI FrameworksAgentsEvaluation and MonitoringFine-TuningMachine LearningPrompt Engineering
  • Lamini
  • Meta
Lamini, Meta
Introducing Multimodal Llama 3.2
Short Course

Introducing Multimodal Llama 3.2

Try out the features of the new Llama 3.2 models to build AI applications with multimodality.

AgentsChatbotsComputer VisionFine-TuningGenAI ApplicationsGenerative ModelsMultiModalPrompt Engineering
  • Meta
Meta
Building AI Browser Agents
Short Course

Building AI Browser Agents

Build agents that navigate and interact with websites, and learn how to make them more reliable.

AI FrameworksAgentsEvaluation and MonitoringFine-TuningGenAI ApplicationsTask Automation
  • AGI Inc
AGI Inc
Reinforcement Fine-Tuning LLMs With GRPO
Short Course

Reinforcement Fine-Tuning LLMs With GRPO

Improve LLM reasoning with reinforcement fine-tuning and reward functions.

Evaluation and MonitoringFine-TuningGenAI ApplicationsLLMOpsLLM ServingMachine LearningPrompt EngineeringSupervised LearningTransformers
  • Predibase
Predibase
Post-training of LLMs
Short Course

Post-training of LLMs

Adapt LLMs for specific tasks and behaviors using post-training techniques like SFT, DPO, and online RL.

Evaluation and MonitoringFine-TuningGenerative ModelsLLMOpsMachine LearningNLPPrompt EngineeringSupervised LearningTransformers
  • University of Washington
  • NexusFlow
University of Washington, NexusFlow
Pydantic for LLM Workflows
Short Course

Pydantic for LLM Workflows

Build reliable LLM applications with structured outputs and validated data using Pydantic.

Evaluation and MonitoringFine-TuningGenerative ModelsLLMOpsMachine LearningNLPPrompt EngineeringSupervised LearningTransformers
  • DeepLearning.AI
DeepLearning.AI