IBM AI Engineering Professional Certificate: Power Up Your Career in 2025-2026
Looking to become a job-ready AI engineer in less than 4 months? The IBM AI Engineering Professional Certificate, offered through Coursera, is a 13-course series designed to build your AI engineering skills and practical experience. Led by instructors Sina Nazeri, Fateme Akbari, and Wojciech ‘Victor’ Fulmyk, among others, this program has enrolled 128,737 learners and boasts a solid 4.5/5 rating from 7,266 reviews.
Why Choose the IBM AI Engineering Certificate?
With AI expected to grow 36.6% by 2030 (Forbes), this intermediate-level certificate is perfect for data scientists, software engineers, and technical specialists aiming to stand out. Requiring some experience, it offers a flexible schedule (4 months at 10 hours a week) and is included in Coursera Plus. You’ll earn a shareable certificate from IBM—ideal for your LinkedIn profile, resume, or CV in 2025-2026—plus access to career resources like resume reviews and interview prep.
Developed by IBM, it’s hands-on and portfolio-focused, helping you catch employers’ eyes.
[ENROLL FOR FREE HERE: Launch your AI career now].
What You’ll Learn: Key Skills and Outcomes
This certificate builds cutting-edge AI skills:
- Machine Learning: Implement models and algorithms.
- Deep Learning: Build neural networks.
- Machine Learning Algorithms: Use classification, regression, clustering.
- Artificial Neural Networks: Design advanced architectures.
- Python Programming: Code with Python.
- Applied Machine Learning: Solve real problems.
- Human Learning: Understand learning principles.
- Algorithms: Optimize solutions.
- Network Model: Structure networks.
- Computer Vision: Process images and video.
You’ll master tools like SciPy, ScikitLearn, Keras, PyTorch, and TensorFlow, and build generative AI models with Hugging Face and LangChain.
[ENROLL FOR FREE HERE: Master AI engineering skills today].
Course Structure: 13 Courses to Job Readiness
This 13-course series totals approximately 155 hours:
- Machine Learning with Python (Course 1)
- 20 hours, 4.7/5 (17,059 ratings)
- Learn ML basics.
- Introduction to Deep Learning & Neural Networks with Keras (Course 2)
- 7 hours, 4.7/5 (1,760 ratings)
- Start with Keras.
- Deep Learning with Keras and TensorFlow (Course 3)
- 23 hours, 4.4/5 (928 ratings)
- Deepen your skills.
- Introduction to Neural Networks and PyTorch (Course 4)
- 17 hours, 4.4/5 (1,793 ratings)
- Explore PyTorch.
- Deep Learning with PyTorch (Course 5)
- 20 hours, 4.4/5 (34 ratings)
- Advance with PyTorch.
- AI Capstone Project with Deep Learning (Course 6)
- 16 hours, 4.5/5 (622 ratings)
- Build a capstone project.
- Generative AI and LLMs: Architecture and Data Preparation (Course 7)
- 5 hours, 4.7/5 (164 ratings)
- Intro to LLMs.
- Gen AI Foundational Models for NLP & Language Understanding (Course 8)
- 7 hours, 4.4/5 (102 ratings)
- NLP basics.
- Generative AI Language Modeling with Transformers (Course 9)
- 8 hours, 4.5/5 (70 ratings)
- Use transformers.
- Generative AI Engineering and Fine-Tuning Transformers (Course 10)
- 8 hours, 4.5/5 (49 ratings)
- Fine-tune models.
- Generative AI Advance Fine-Tuning for LLMs (Course 11)
- 9 hours, 4.4/5 (66 ratings)
- Advanced LLM tuning.
- Fundamentals of AI Agents Using RAG and LangChain (Course 12)
- 6 hours, 4.7/5 (66 ratings)
- Build AI agents.
- Project: Generative AI Applications with RAG and LangChain (Course 13)
- 9 hours, 4.8/5 (51 ratings)
- Create a final project.
Taught in English, it includes hands-on projects to build a portfolio showcasing skills like NLP and computer vision.
Instructors Spotlight: IBM Experts
- Sina Nazeri: 2 courses, 24,103 learners.
- Fateme Akbari: 4 courses, 12,046 learners.
- Wojciech ‘Victor’ Fulmyk: 4 courses, 47,983 learners.
Backed by IBM’s expertise, these instructors deliver practical training for 2025-2026.
What Learners Say: Testimonials and Career Impact
Rated 4.5/5 from 7,266 reviews, learners highlight its value:
- Felipe M. (Learner since 2018): “To be able to take courses at my own pace and rhythm has been an amazing experience.”
- Jennifer J. (Learner since 2020): “I directly applied the concepts and skills I learned to an exciting new project at work.”
- Larry W. (Learner since 2021): “When I need courses on topics my university doesn’t offer, Coursera is one of the best places to go.”
Chaitanya A. adds, “Learning isn’t just about being better at your job—it’s so much more than that. Coursera allows me to learn without limits.”
[IENROLL FOR FREE HERE: See reviews and enroll].
Why Coursera and IBM? A Career Advantage
Offered by IBM, this certificate aligns with 2025-2026 AI trends, offering career support and potential degree credit. It’s fully online with financial aid options, ensuring accessibility.
Frequently Asked Questions (FAQs)
What’s the IBM Badge?
You’ll earn an IBM Badge post-completion, issued within 1-2 weeks, recognizing your expertise.
What careers can this lead to?
Roles like AI Developer, Data Scientist, Machine Learning Engineer, and more.
How long does it take?
3-6 months at 2-4 hours a week, or 4 months at 10 hours, depending on your pace.
What are the prerequisites?
Python, Jupyter Notebooks, and high school math. Try [ENROLL FOR FREE HERE: Python for Data Science] if needed.
Should I take the courses in order?
Highly recommended to follow the suggested sequence.
Can I earn university credit?
Not currently, but it may build toward a degree at select programs.
What will I learn?
You’ll build ML and deep learning models, deploy on Apache Spark, and create generative AI applications.
Is it fully online?
Yes, 100% online, accessible anytime via web or mobile.
What’s the refund policy?
Enjoy a 7-day free trial. Post-trial, no refunds, but you can cancel anytime. See the .
How do I enroll?
Click a course card to start. Audit for free or subscribe for the certificate.
Final Thoughts: Become an AI Engineer in 2025-2026
The IBM AI Engineering Professional Certificate is your fast track to an AI career in 2025-2026. With 13 courses, 4 months of flexible learning, and an IBM credential, you’ll build a standout portfolio. Enroll today and power up your future!
[ENROLL FOR FREE HERE: Enroll now and excel in AI].
