Unlock AI Mastery: Practical Projects for ChatGPT, Anomaly Detection, Streamlit Chatbots, RAG and More
What you'll learn:
Train Custom ChatGPT Models: Implement Reinforcement Learning from Human Feedback (RLHF) to create your own ChatGPT.
Master LLMs: Build and fine-tune Large Language Models using advanced techniques like RNNs, LSTMs, and Transformers.
Detect Anomalies Efficiently: Develop end-to-end anomaly detection systems using autoencoders.
Create Advanced Chatbots: Build interactive chatbots with Streamlit, integrating Langchain and GPT for sophisticated conversations.
Leverage RAG Techniques: Apply Retrieval-Augmented Generation (RAG) with Llama2 and the FAISS Vector Database.
Gain Real-World Coding Skills: Work on practical coding exercises that prepare you for real-world AI applications.
Optimize AI Models: Learn the full workflow from data preparation to model evaluation and optimization.
Join a Supportive Community: Access a community for collaboration, support, and enhancing your problem-solving skills.

Requirements:
Basic Understanding of Python: Familiarity with Python programming, including basic syntax, data structures, and libraries.
Fundamental Knowledge of Machine Learning: Understanding of core machine learning concepts, such as supervised and unsupervised learning, regression, and classification.
Basic Understanding of Neural Networks: Awareness of neural network structures and basic concepts, including feedforward and backpropagation.
Access to a Computer: A computer with internet access to run coding exercises and use development environments.
Development Environment: Installation of Python and Jupyter Notebooks. Instructions will be provided if needed.

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.What You'll Learn:Project 1: Retrieval-Augmented Generation (RAG) with LLMs and FAISSLearn RAG architecture fundamentalsDifferentiate between LLM pretraining and fine-tuningImplement Llama2 with the FAISS Vector DatabaseDetailed code walkthroughs and practical applicationsProject 2: Train Your Own ChatGPT with RLHFUnderstand Reinforcement Learning from Human Feedback (RLHF)Deep dive into RLHF techniquesImplement RLHF on VertexAIEvaluate and optimize your ChatGPT modelProject 3: Building and Fine-Tuning Large Language Models (LLMs)Explore RNNs, LSTMs, and Attention mechanismsMaster Tokenizers and Encoder-Decoder architecturesDive into Transformer models and their variationsPractical walkthroughs on prompt engineeringProject 4: Anomaly Detection Using AutoencodersDevelop an end-to-end anomaly detection systemImplement autoencoders for effective anomaly detectionHands-on coding with provided datasetsProject 5: Build a Streamlit Chatbot Using Langchain and GPTCreate interactive chatbots with StreamlitIntegrate Langchain and GPT for advanced conversational AIStep-by-step coding guidance and data handlingCourse Features:Hands-On Projects: Real-world AI applications to solidify your learningExpert Guidance: Step-by-step instructions and deep dives into complex topicsComprehensive Resources: Code, data, and additional materials providedCommunity Support: Join our community for collaboration and problem-solvingWho This Course Is For:AI enthusiasts with an intermediate understanding of AI and machine learningDevelopers looking to build and deploy advanced AI applicationsProfessionals aiming to enhance their AI skill set with practical projectsJoin us in this exciting journey to master AI through hands-on, real-world projects. Enroll now and start building the future of AI today!

Who this course is for:
AI Enthusiasts: Individuals passionate about artificial intelligence and looking to advance their understanding with real-world applications.
Intermediate to Advanced Learners: Those with a foundational knowledge of Python and machine learning who want to tackle more complex AI projects.
Developers and Engineers: Software developers and engineers aiming to enhance their AI skill set and apply it to real-world problems.
Data Scientists: Data scientists seeking to expand their toolkit with advanced AI techniques and applications.
Students and Academics: Learners in academic settings who want to complement their theoretical studies with practical experience.
Professionals Seeking Career Growth: Individuals in the tech industry looking to transition into AI roles or enhance their current positions with cutting-edge AI skills.
Entrepreneurs and Innovators: Those interested in leveraging AI to drive innovation in their startups or businesses.

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