IBM Generative AI Engineering

During the “IBM Generative AI Engineering” program you will explore AI, generative AI, and prompt engineering, as well as data analysis, machine learning, and deep learning with Python. You'll gain hands-on experience with libraries like SciPy and scikit-learn, and develop applications using frameworks and models like BERT, GPT, and LLaMA. You'll also learn how to build LLM-based NLP applications using tools like Hugging Face Transformers, PyTorch, RAG, and LangChain, while diving deep into tokenization, language models, and transformer methods. Skill-based training modules include: 1) AI for Everyone: Master the Basics, 2) Introduction to Generative AI, 3) Introduction to Prompt Engineering, 4) Python Basics for Data Science, 5) Python for AI & Development Project, 6) Developing Generative AI Applications with Python, 7) Analyzing Data with Python, 8) PyTorch Basics for Machine Learning, 9) Deep Learning Fundamentals with Keras, 10) Generative AI: LLM Architecture & Data Preparation, 11) Model Foundations and NLP, 12) Language Models with Transformers, 13) Fine-Tuning Transformers, 14) Advanced Fine-Tuning for LLMs, 15) Agents with RAG and LangChain, and 16) RAG and LangChain App.

Enroll today (teams and execs are welcome): https://edx.sjv.io/QYzJOY 

Recommended Reading:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)

3 - “The Upskill Gambit - Discover the 5 Keys to Your Career and Income Security in the Digital Age” (Audible) (Kindle)

Much success in your AI career, AI Academy (please subscribe and share with you colleagues)