About this Professional Certificate

Prepare for a career as a Generative AI Engineer. Gain the in-demand skills and hands-on experience to get job-ready in less than 6 months!

In this professional certificate, you will:

Describe the core principles of Generative AI, machine learning, deep learning, NLP applications, and large language models by explaining their key components, functionalities, and how they are applied in real-world scenarios.
Apply Python libraries such as Flask, SciPy, Scikit-learn, Keras, and PyTorch to design, build, and deploy GenAI applications, AI-powered chatbots, and intelligent agents that interact with users dynamically.
Analyze different Generative AI architectures and NLP models, including transformers like BERT and large language models like GPT, by evaluating their structure, strengths, and limitations for various AI-driven tasks.
Evaluate the effectiveness of advanced AI techniques such as prompt engineering, model training, and fine-tuning by comparing different strategies and determining their impact on model accuracy, efficiency, and overall performance.
Create and deploy a fully functional Generative AI application by integrating machine learning techniques, LLMs, and frameworks such as RAG and LangChain to solve real-world NLP challenges.
Assess the ethical implications, risks, and potential biases associated with GenAI technologies by critically examining their societal impact and proposing responsible AI development and deployment strategies.

Program Overview

The Generative AI industry is projected to expand at a CAGR of over 46% through 2030 (Statista). As a result, the demand for tech professionals skilled in Generative AI engineering is skyrocketing!

The IBM Generative AI Engineering Professional Certificate equips aspiring Generative AI engineers, AI developers, data scientists, machine learning engineers, and AI research engineers with the critical expertise in Generative AI, large language models (LLMs), and natural language processing (NLP) needed to capture employers’ attention.

A GenAI engineer designs AI systems that generate new data—such as text, images, audio, and video—by leveraging transformers and LLMs. This program immerses you in AI, Generative AI, and prompt engineering, alongside data analysis, machine learning, and deep learning with Python. You’ll work with libraries like SciPy and scikit-learn while developing applications using frameworks and models such as BERT, GPT, and LLaMA. You’ll also utilize Hugging Face Transformers, PyTorch, RAG, and LangChain to build and deploy LLM-based NLP applications, gaining expertise in tokenization, language models, and transformer methodologies.

Through hands-on labs and projects, you’ll gain practical experience that will strengthen your resume and help you stand out in interviews. Plus, you’ll complete a major guided project where you’ll develop your own real-world GenAI application.

If you’re ready to distinguish yourself with highly sought-after Generative AI skills, ENROLL TODAY and take your career to the next level in under six months!

Applied Learning Project

Practical Experience That Employers Value

Employers prioritize hands-on experience when evaluating candidates. This Professional Certificate ensures you gain the practical expertise to demonstrate your capabilities in a job interview.

Your hands-on learning includes:

Generating text, images, and code using GenAI
Applying prompt engineering techniques and best practices
Developing multiple GenAI applications with Python and deploying them using Flask
Building an NLP data loader
Training a simple language model with a neural network
Using transformers for classification and creating a translation model
Implementing prompt engineering and in-context learning
Fine-tuning models to enhance performance
Leveraging LangChain tools and components for various applications
Constructing AI agents and applications with RAG and LangChain in a comprehensive guided project.

Prerequisites

The following skills are required to be successful in this program: