The Generative AI market is projected to grow over 46% CAGR by 2030 (Statista), driving high demand for professionals with Gen AI engineering skills.

The IBM Generative AI Engineering Professional Certificate equips aspiring Gen AI engineers, AI developers, data scientists, machine learning engineers, and AI research engineers with essential skills in Gen AI, LLMs, and NLP.

Key learning areas include:

1. Designing AI systems to generate new data (text, images, audio, video) using transformers & LLMs.

2. AI, Gen AI, prompt engineering, data analysis, ML & deep learning with Python.

3. Hands-on experience with SciPy, scikit-learn, BERT, GPT, LLaMA, Hugging Face Transformers, PyTorch, RAG, and LangChain.

4. Building & deploying LLM-based NLP applications.

5. Completing a real-world Gen AI project to showcase skills to employers.

The hands-on work includes:  

1. Generating text, images, and code through gen AI 

2. Applying prompt engineering techniques and best practices 

3. Creating multiple gen AI-powered applications with Python and deploying them using Flask 

4. Creating an NLP data loader  

5. Developing and training a simple language model with a neural network  

6. Applying transformers for classification, and building and evaluating a translation model 

7. Performing prompt engineering and in-context learning 

8. Fine-tuning models to improve performance 

9. Using LangChain tools and components for different applications  

10. Building AI agents and applications with RAG and LangChain in a significant guided project.