🎓 Duration: 3 months
🚀 Objective: To learn the fundamentals of programming, natural language processing (NLP), and machine learning, and to develop and deploy a functional chatbot.
👨💻 Objective: Gain a solid understanding of Python programming.
Resources:
Tasks:
- Complete the basics of Python: syntax, data types, control structures.
- Work on small projects such as simple calculators and file operations.
🤖 Objective: Understand what chatbots are, their types, and use cases.
Resources:
Tasks:
- Read articles and watch introductory videos on chatbots.
- Explore different chatbot platforms and their capabilities.
📝 Objective: Learn the basics of NLP.
Resources:
Tasks:
- Work through NLP tutorials using NLTK.
- Implement basic NLP tasks such as tokenization, stemming, and sentiment analysis.
🤖 Objective: Understand machine learning concepts and techniques.
Resources:
- Machine Learning by Andrew Ng (Coursera)
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Tasks:
- Complete the introductory modules on machine learning.
- Implement simple machine learning algorithms such as linear regression and classification.
🧠 Objective: Deepen understanding of NLP with advanced techniques.
Resources:
Tasks:
- Work on more advanced NLP tasks using spaCy and Transformers.
- Build a named entity recognition (NER) system or a text summarizer.
🔧 Objective: Learn to use popular chatbot development platforms.
Resources:
Tasks:
- Follow tutorials to build simple chatbots on each platform.
- Compare the features and capabilities of each platform.
🛠️ Objective: Create a basic rule-based chatbot.
Resources:
Tasks:
- Design and implement a rule-based chatbot using Rasa or Dialogflow.
- Test and refine the chatbot based on user interactions.
🤖 Objective: Develop a more complex chatbot using machine learning.
Resources:
Tasks:
- Build a chatbot that uses machine learning for intent recognition and response generation.
- Integrate pre-trained models from Hugging Face for enhanced performance.
📬 Objective: Integrate your chatbot with popular messaging platforms.
Resources:
Tasks:
- Integrate your chatbot with Facebook Messenger and Slack.
- Ensure seamless communication and test extensively.
🚀 Objective: Deploy your chatbot to a live environment.
Resources:
Tasks:
- Deploy your chatbot using a cloud platform like Heroku.
- Implement necessary scaling and monitoring tools.
🔄 Objective: Learn to maintain and improve your chatbot over time.
Resources:
Tasks:
- Collect user feedback and improve your chatbot’s responses.
- Implement regular updates and add new features.
🏁 Objective: Consolidate your learning and build a comprehensive chatbot project.
Tasks:
- Design and build a final chatbot project incorporating all the features you’ve learned.
- Review all concepts, refine your project, and prepare a presentation or demonstration.
Communities and Forums: