
🎓 Course : IBM Generative AI Engineering Professional Certificate
📝 Description: 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.
⌚ Duration : 6 hours a week
⭐ Rating : 4.1
👨🏫 Instructor / Provider : Coursera, IBM
📅 Schedule : Flexible schedule Learn at your own pace
📌 Action : Click on ENROLL NOW to take the course
This comprehensive certification program equips learners with the skills needed to develop, deploy, and fine-tune generative AI applications. Covering foundational AI concepts, machine learning, deep learning, and specialized topics in LLMs, this series ensures a strong grasp of cutting-edge AI engineering.
Course Breakdown:
1️⃣ Introduction to Artificial Intelligence (AI)
⏳ 13 hours | ⭐ 4.7 (16,348 ratings)
2️⃣ Generative AI: Introduction and Applications
⏳ 7 hours | ⭐ 4.7 (1,786 ratings)
3️⃣ Generative AI: Prompt Engineering Basics
⏳ 7 hours | ⭐ 4.8 (2,678 ratings)
4️⃣ Python for Data Science, AI & Development
⏳ 25 hours | ⭐ 4.6 (39,668 ratings)
5️⃣ Developing AI Applications with Python and Flask
⏳ 11 hours | ⭐ 4.4 (937 ratings)
6️⃣ Building Generative AI-Powered Applications with Python
⏳ 13 hours | ⭐ 4.7 (106 ratings)
7️⃣ Data Analysis with Python
⏳ 15 hours | ⭐ 4.7 (18,758 ratings)
8️⃣ Machine Learning with Python
⏳ 20 hours | ⭐ 4.7 (16,798 ratings)
9️⃣ Introduction to Deep Learning & Neural Networks with Keras
⏳ 8 hours | ⭐ 4.7 (1,695 ratings)
🔟 Generative AI and LLMs: Architecture and Data Preparation
⏳ 5 hours | ⭐ 4.7 (119 ratings)
1️⃣1️⃣ Gen AI Foundational Models for NLP & Language Understanding
⏳ 7 hours | ⭐ 4.4 (59 ratings)
1️⃣2️⃣ Generative AI Language Modeling with Transformers
⏳ 8 hours | ⭐ 4.6 (47 ratings)
1️⃣3️⃣ Generative AI Engineering and Fine-Tuning Transformers
⏳ 8 hours | ⭐ 4.5 (25 ratings)
1️⃣4️⃣ Generative AI Advanced Fine-Tuning for LLMs
⏳ 8 hours | ⭐ 4.1 (29 ratings)
1️⃣5️⃣ Fundamentals of AI Agents Using RAG and LangChain
⏳ 6 hours | ⭐ 4.7 (41 ratings)
1️⃣6️⃣ Project: Generative AI Applications with RAG and LangChain
⏳ 9 hours | ⭐ 4.9 (27 ratings)