The IBM AI Engineering Professional Certificate is a globally accessible online program designed to fast-track your career in artificial intelligence (AI) and machine learning (ML). Offered by IBM through Coursera, this professional-level certificate equips learners with highly sought-after technical skills through a hands-on, project-based approach. In just under four months, participants can become job-ready AI engineers capable of building, training, and deploying AI models using cutting-edge tools and frameworks.

What You’ll Learn
This comprehensive 13-course series covers key AI concepts and techniques, including:

• Machine Learning Fundamentals – Learn classification, regression, clustering, and dimensionality reduction.
• Deep Learning & Neural Networks – Explore convolutional neural networks (CNNs), recurrent neural networks (RNNs), autoencoders, and more.
• Generative AI & Large Language Models (LLMs) – Work with models like GPT and BERT, and apply tools such as LangChain for QA bots.
• Industry Tools – Gain experience with Python, TensorFlow, Keras, PyTorch, SciPy, Scikit-Learn, and Apache Spark.

Through practical labs and real-world projects, you’ll apply your knowledge in areas like NLP, image and video processing, object recognition, and recommendation systems.

Key Features

• Career-focused training from IBM
• Real-world projects with hands-on experience
• Build a portfolio to showcase your skills
• Earn a shareable IBM Professional Certificate
• Available to learners worldwide
• Flexible schedule (approx. 10 hours/week)

Program Details

• Duration: ~4 months
• Mode: Online (Self-paced)
• Language: English
• Cost: Paid (Free 7-day trial available)
• Eligibility: Open to all countries; intermediate learners recommended

• Requirements:

• Basic knowledge of Python
• Familiarity with high school-level math/statistics
• Interest in AI/ML and access to a computer and internet

Skills You’ll Develop

• TensorFlow, PyTorch, and Keras
• Supervised & Unsupervised Learning
• Neural Networks & Deep Learning
• Generative AI & Transformer Models
• Reinforcement Learning
• Natural Language Processing (NLP)
• Data Processing with Apache Spark

Courses Included

1. Machine Learning with Python
2. Deep Learning Introduction with Keras
3. Deep Learning with Keras and TensorFlow
4. Intro to Neural Networks with PyTorch
5. Deep Learning with PyTorch
6. AI Capstone Project
7. GenAI Architecture & Data Preparation
8. NLP with Foundational Models
9. Language Modeling with Transformers
10. Fine-Tuning Transformers
11. Advanced LLM Fine-Tuning
12. RAG & LangChain Fundamentals
13. Generative AI Applications Project

How to Enroll

1. Visit the course page on Coursera: IBM AI Engineering Certificate
2. Click “Enroll for Free” to start your 7-day trial
3. Sign in or create a Coursera account
4. Choose a subscription plan (monthly or Coursera Plus)
5. Begin learning at your own pace!

Apply Now

For more information and to enroll in the program, visit the official Coursera platform.