What you will learn in IBM Generative AI Engineering Professional Certificate Course
- Gain a strong foundation in Generative AI and Large Language Models (LLMs).
- Understand the principles of deep learning and their role in AI content generation.
- Learn how to build, fine-tune, and deploy generative AI models.
- Explore prompt engineering techniques to optimize AI-generated outputs.
- Work with Python, TensorFlow, PyTorch, and Hugging Face to implement AI solutions.
- Learn about ethical AI, bias mitigation, and responsible AI deployment.
- Apply skills to real-world projects, including chatbots, text generation, and AI-powered applications.
Program Overview
Introduction to Generative AI
⏱️1-2 weeks
- Learn what Generative AI is and how it differs from traditional AI models.
- Understand key technologies like GANs (Generative Adversarial Networks) and Transformers.
- Explore real-world applications of AI-generated text, images, and videos.
Deep Learning & Neural Networks for AI
⏱️ 2-4 weeks
- Master the fundamentals of deep learning and its role in AI systems.
- Understand how neural networks learn patterns from large datasets.
- Work with TensorFlow and PyTorch for building AI models.
Generative AI Model Development
⏱️ 4-6 weeks
- Learn how to train and fine-tune large-scale AI models.
- Work with LLMs like GPT, BERT, and DALL·E for text and image generation.
- Develop AI-powered tools for content creation, coding assistance, and automation.
Prompt Engineering & AI Optimization
⏱️ 6-8 weeks
- Master prompt engineering techniques for controlling AI-generated outputs.
- Understand tokenization, embeddings, and context length optimization.
- Improve AI model efficiency and response accuracy.
Ethical AI & Responsible Deployment
⏱️ 8-10 weeks
- Explore AI bias, fairness, and ethical considerations in generative models.
- Learn strategies for reducing AI-generated misinformation and hallucinations.
- Understand compliance standards for AI applications.
Capstone Project: Build Your Generative AI Model
⏱️ 10-12 weeks
- Apply all concepts learned by building a custom generative AI solution.
- Work with real-world datasets to create an AI-powered application.
- Showcase your project in a professional portfolio to boost career opportunities.
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Job Outlook
- Generative AI is a rapidly growing field with high demand for AI engineers and developers.
- AI professionals earn an average salary of $120K – $180K depending on expertise.
- Career paths include AI Engineer, Machine Learning Engineer, Prompt Engineer, and AI Consultant.
- Generative AI is transforming industries like finance, healthcare, e-commerce, and entertainment.
- Organizations are actively investing in AI-driven automation and content generation tools.
Specification: IBM Generative AI Engineering Professional Certificate
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