Udemyintermediateen

Hands-On AI: Build, Train, and Deploy Advanced AI Projects

Learn AI with practical projects! Master ChatGPT, chatbots, anomaly detection, RAG & more. Build real-world AI skills.

3.5(2)
21students
3h 19m
Certificate
Vinay Karode
Vinay KarodeResult oriented teacher

Course Content

Hands-On AI: Build, Train, and Deploy Advanced AI Projects is an intermediate-level Udemy course taught by Vinay Karode. It runs 3h 19m, is taught in English, and includes a certificate of completion. Learners rate it 3.5 out of 5 from 2 reviews, with 21 students enrolled. It is a paid course, first published June 2024.

Unlock the power of artificial intelligence with our comprehensive, project-based AI course designed for intermediate to advanced learners. Gain hands-on experience and master AI applications with real-world projects. Whether you're looking to enhance your AI skills or build cutting-edge solutions, this course provides everything you need.

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 for large language models.
  • Project 2: Train Your Own ChatGPT with RLHF
    • Understand Reinforcement Learning from Human Feedback (RLHF).
    • Deep dive into RLHF techniques.
    • Implement RLHF on Vertex AI.
    • Evaluate and optimize your ChatGPT model for improved performance.
  • 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 for optimal results.
  • 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 for practical application.
  • 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 for chatbot development.

Course Features:

  • Hands-On Projects: Apply AI concepts to real-world AI applications and build a portfolio.
  • Expert Guidance: Benefit from step-by-step instructions and deep dives into complex AI topics.
  • Comprehensive Resources: Access code, data, and additional materials to support your learning journey.
  • Community Support: Join our community for collaboration, problem-solving, and networking with fellow AI enthusiasts.

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 AI 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!

$ whoami — the devs behind tutorialsearch.io

Want AI in your product? Hire the team behind TutorialSearch.io

LLM features, RAG, agents and automation wired into a real product — built by the devs who shipped this site.

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