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Coursera – IBM Generative AI Engineering Professional Certificate

Free Download Coursera – IBM Generative AI Engineering Professional Certificate
Last updated 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 262 Lessons ( 25h 33m ) | Size: 4.44 GB
Develop job-ready gen AI skills employers need. Build highly sought-after gen AI engineering skills and practical experience in just 6 months. No prior experience required.

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.
Skills you'll gain
PyTorch (Machine Learning Library)
Hugging Face (NLP Framework)
RAG
LangChain
Large Language Models
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.
If you're keen to stand out from the crowd with gen AI skills employers desperately need, ENROLL TODAY and transform your career opportunities in less than 6 months.
Applied Learning Project
Practical Experience Employers Look For
Practical experience speaks volumes in a job interview. This Professional Certificate gives you valuable hands-on experience that confirms to employers you've got what it takes!
The hands-on work includes:
Generating text, images, and code through gen AI
Applying prompt engineering techniques and best practices
Creating multiple gen AI-powered applications with Python and deploying them using Flask
Creating an NLP data loader
Developing and training a simple language model with a neural network
Applying transformers for classification, and building and evaluating a translation model
Performing prompt engineering and in-context learning
Fine-tuning models to improve performance
Using LangChain tools and components for different applications
Building AI agents and applications with RAG and LangChain in a significant guided project.
Homepage

https://www.coursera.org/professional-certificates/ibm-generative-ai-engineering

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Coursera – IBM Generative AI Engineering Professional Certificate

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