Descriptions
IBM GenAI Engineering with PyTorch, LangChain & Hugging Face Professional Certificate, The generative AI market is expected to grow over 46% CAGR to 2030 (Statista). The demand for tech professionals with gen AI engineering skills is exploding! The IBM Generative AI Engineering Professional Certificate gives aspiring gen AI engineers, AI developers, data scientists, machine learning engineers, and AI research engineers the essential skills in gen AI, large language models (LLMs), and natural language processing (NLP) required to catch the eye of an employer. A gen AI engineer designs AI systems that produce new data—like images, text, audio, and video—using transformers and LLMs. In this program, you’ll dive into AI, gen AI, and prompt engineering, along with data analysis, machine learning, and deep learning using Python. You’ll work with libraries like SciPy and scikit-learn and build apps using frameworks and models such as BERT, GPT, and LLaMA. You’ll use Hugging Face Transformers, PyTorch, RAG, and LangChain for developing and deploying LLM NLP-based apps, while exploring tokenization, language models, and transformer techniques. You’ll also get plenty of practical experience in hands-on labs and projects that you can talk about in interviews. Plus, you’ll complete a significant guided project where you’ll create your own real-world gen AI application.
What you’ll learn
- Job-ready skills employers are crying out for in gen AI, machine learning, deep learning, NLP apps, and large language models in just 6 months.
- Build and deploy generative AI applications, agents and chatbots using Python libraries like Flask, SciPy and ScikitLearn, Keras, and PyTorch.
- Key gen AI architectures and NLP models, and how to apply techniques like prompt engineering, model training, and fine-tuning.
- Apply transformers like BERT and LLMs like GPT for NLP tasks, with frameworks like RAG and LangChain.
Who this course is for
- This PC is designed for those interested in gen AI engineering, including training, developing, fine-tuning, and deploying large language models as well as developing agents and applications that leverage these AI models. This includes custom-built models as well as pre-trained models, such as generative pre-trained transformers (GPT) and BERT, for building natural language processing (NLP)-based applications. The PC will train you for an entry-level gen AI engineer role from scratch and give you the ability to work with newer generations of AI models and vector databases.
Specificatoin of IBM GenAI Engineering with PyTorch, LangChain & Hugging Face Professional Certificate
- Publisher : Coursera
- Teacher : IBM Skills Network Team
- Language : English
- Level : Beginner
- Number of Course : 16
- Duration : 6 months at 6 hours a week
Content of IBM GenAI Engineering with PyTorch, LangChain & Hugging Face Professional Certificate
Requirements
- Basic computer literacy
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Course 1 – Introduction to Artificial Intelligence (AI)
Course 2 – Generative AI: Introduction and Applications
Course 3 – Generative AI: Prompt Engineering Basics
Course 4 – Python for Data Science, AI & Development
Course 5 – Developing AI Applications with Python and Flask
Course 6 – Building Generative AI-Powered Applications with Python
Course 7 – Data Analysis with Python
Course 8 – Machine Learning with Python
Course 9 – Introduction to Deep Learning & Neural Networks with Keras
Course 10 – Generative AI and LLMs: Architecture and Data Preparation
Course 11 – Gen AI Foundational Models for NLP & Language Understanding
Course 12 – Generative AI Language Modeling with Transformers
Course 13 – Generative AI Engineering and Fine-Tuning Transformers
Course 14 – Generative AI Advance Fine-Tuning for LLMs
Course 15 – Fundamentals of AI Agents Using RAG and LangChain
Course 16 – Project: Generative AI Applications with RAG and LangChain
Rapidgator
Course 1 – Introduction to Artificial Intelligence (AI)
Course 2 – Generative AI: Introduction and Applications
Course 3 – Generative AI: Prompt Engineering Basics
Course 4 – Python for Data Science, AI & Development
Course 5 – Developing AI Applications with Python and Flask
Course 6 – Building Generative AI-Powered Applications with Python
Course 7 – Data Analysis with Python
Course 8 – Machine Learning with Python
Course 9 – Introduction to Deep Learning & Neural Networks with Keras
Course 10 – Generative AI and LLMs: Architecture and Data Preparation
Course 11 – Gen AI Foundational Models for NLP & Language Understanding
Course 12 – Generative AI Language Modeling with Transformers
Course 13 – Generative AI Engineering and Fine-Tuning Transformers
Course 14 – Generative AI Advance Fine-Tuning for LLMs
Course 15 – Fundamentals of AI Agents Using RAG and LangChain
Course 16 – Project: Generative AI Applications with RAG and LangChain
Password file(s): www.downloadly.ir
File size
4.76 GB
