6 timed, auto-graded IBM practice exams and 2 certification paths. Your first exam is free; every pass gives a certificate anyone can verify.
Scenario-based practice exam on generative AI engineering: machine learning, deep learning, transformers, Hugging Face, fine-tuning with LoRA, RLHF and DPO, RAG with LangChain, agents, Gradio and Flas
Practice exam on full stack skills: software engineering, cloud basics, HTML, CSS, JavaScript, Git, React, Node.js, Express, Python, Flask, Django, SQL, Docker, Kubernetes, OpenShift, microservices an
Scenario-based practice exam on cybersecurity analysis: attacks and tools, operating systems, compliance frameworks, network and database security, incident response, forensics, threat intelligence an
Scenario-based practice exam on data science: tools, the ten-stage methodology, Python, SQL, data analysis, visualisation, machine learning with scikit-learn, model evaluation and generative AI.
Scenario-based practice exam on data analysis: the data ecosystem, Excel, dashboards, Python with pandas and NumPy, SQL, wrangling, exploratory analysis, modelling basics, visualisation and generative
Scenario-based AI engineering practice exam: machine learning with scikit-learn, neural networks, Keras and TensorFlow, PyTorch, CNNs, sequence models and transformers, and generative AI with LLMs and
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Practice exams written by CareerByteCode. Not affiliated with IBM; certification names are trademarks of their owners.
