Unlock AI Mastery: Practical Projects for ChatGPT, Anomaly Detection, Streamlit Chatbots, RAG and More
Description
Unlock the power of artificial intelligence with our comprehensive, project-based course designed for intermediate to advanced learners. Whether you’re looking to enhance your AI skills or gain hands-on experience with real-world projects, this course has everything you need to master AI applications.
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What You’ll Learn:
Project 1: Retrieval-Augmented Generation (RAG) with LLMs and FAISS
Learn RAG architecture fundamentals
Differentiate between LLM pretraining and fine-tuning
Implement Llama2 with the FAISS Vector Database
Detailed code walkthroughs and practical applications
Project 2: Train Your Own ChatGPT with RLHF
Understand Reinforcement Learning from Human Feedback (RLHF)
Deep dive into RLHF techniques
Implement RLHF on VertexAI
Evaluate and optimize your ChatGPT model
Project 3: Building and Fine-Tuning Large Language Models (LLMs)
Explore RNNs, LSTMs, and Attention mechanisms
Master Tokenizers and Encoder-Decoder architectures
Dive into Transformer models and their variations
Practical walkthroughs on prompt engineering
Project 4: Anomaly Detection Using Autoencoders
Develop an end-to-end anomaly detection system
Implement autoencoders for effective anomaly detection
Hands-on coding with provided datasets
Project 5: Build a Streamlit Chatbot Using Langchain and GPT
Create interactive chatbots with Streamlit
Integrate Langchain and GPT for advanced conversational AI
Step-by-step coding guidance and data handling
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Course Features:
Hands-On Projects: Real-world AI applications to solidify your learning
Expert Guidance: Step-by-step instructions and deep dives into complex topics
Comprehensive Resources: Code, data, and additional materials provided
Community Support: Join our community for collaboration and problem-solving
Who This Course Is For:
AI enthusiasts with an intermediate understanding of AI and machine learning
Developers looking to build and deploy advanced AI applications
Professionals aiming to enhance their AI skill set with practical projects
Join us in this exciting journey to master AI through hands-on, real-world projects. Enroll now and start building the future of AI today!
Total Students | 21 |
---|---|
Duration | 3.5 hours |
Language | English (US) |
Original Price | |
Sale Price | 0 |
Number of lectures | 26 |
Number of quizzes | 0 |
Total Reviews | 2 |
Global Rating | 3.5 |
Instructor Name | Vinay Karode |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
78% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 3.5 hours
- Practical value: 6/10
Roadmap Fit
- Beginner → Beginner → Advanced
Key Takeaways for Learners
- Hands-on practice
- Real-world examples
- Project-based learning
- Hands On
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
- Hands On
Watch-outs
No consistent issues reported.
Difficulty
Best suited for
New learners starting from zero
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