Practical notebook (8 résultats)

Etat : New.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Etat : Brand New. 196 pages. 6.00x0.42x9.00 inches. In Stock.

Paperback. Etat : new. Paperback. AI engineering is not one job, and no single course creates a credible path into it. The AI Engineer Roadmap helps aspiring engineers and career changers choose a direction, assess their current evidence, repair the right technical gaps, and turn learning into visible work. Readers compare model, application, and production engineering paths; sequence practical Python, machine learning, PyTorch, cloud, deployment, and operations skills; and build connected portfolio projects with clear evaluation criteria. The book also explains how to judge certifications without treating credentials as substitutes for engineering evidence. Worksheets, project contracts, readiness checks, a twelve-week planning framework, and maintained online resources help readers move from scattered study to a focused build-ship-prove cycle. The result is a practical roadmap for choosing the next useful skill, project, or certification decision without promising employment, exam success, or a universal career path. A practical roadmap for turning Python, machine learning, PyTorch, cloud, and production skills into credible AI engineering projects and career evidence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Etat : new. Paperback. AI engineering is not one job, and no single course creates a credible path into it. The AI Engineer Roadmap helps aspiring engineers and career changers choose a direction, assess their current evidence, repair the right technical gaps, and turn learning into visible work. Readers compare model, application, and production engineering paths; sequence practical Python, machine learning, PyTorch, cloud, deployment, and operations skills; and build connected portfolio projects with clear evaluation criteria. The book also explains how to judge certifications without treating credentials as substitutes for engineering evidence. Worksheets, project contracts, readiness checks, a twelve-week planning framework, and maintained online resources help readers move from scattered study to a focused build-ship-prove cycle. The result is a practical roadmap for choosing the next useful skill, project, or certification decision without promising employment, exam success, or a universal career path. A practical roadmap for turning Python, machine learning, PyTorch, cloud, and production skills into credible AI engineering projects and career evidence. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - AI engineering is not one job, and no single course creates a credible path into it. The AI Engineer Roadmap helps aspiring engineers and career changers choose a direction, assess their current evidence, repair the right technical gaps, and turn learning into visible work. Readers compare model, application, and production engineering paths; sequence practical Python, machine learning, PyTorch, cloud, deployment, and operations skills; and build connected portfolio projects with clear evaluation criteria. The book also explains how to judge certifications without treating credentials as substitutes for engineering evidence. Worksheets, project contracts, readiness checks, a twelve-week planning framework, and maintained online resources help readers move from scattered study to a focused build-ship-prove cycle. The result is a practical roadmap for choosing the next useful skill, project, or certification decision without promising employment, exam success, or a universal career path.…

Paperback. Etat : new. Paperback. AI engineering is not one job, and no single course creates a credible path into it. The AI Engineer Roadmap helps aspiring engineers and career changers choose a direction, assess their current evidence, repair the right technical gaps, and turn learning into visible work. Readers compare model, application, and production engineering paths; sequence practical Python, machine learning, PyTorch, cloud, deployment, and operations skills; and build connected portfolio projects with clear evaluation criteria. The book also explains how to judge certifications without treating credentials as substitutes for engineering evidence. Worksheets, project contracts, readiness checks, a twelve-week planning framework, and maintained online resources help readers move from scattered study to a focused build-ship-prove cycle. The result is a practical roadmap for choosing the next useful skill, project, or certification decision without promising employment, exam success, or a universal career path. A practical roadmap for turning Python, machine learning, PyTorch, cloud, and production skills into credible AI engineering projects and career evidence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Etat : Neu. The AI Engineer Roadmap | A Practical Guide to Python, PyTorch, Machine Learning, Cloud AI, Portfolio Projects, and Certification | Practical Notebook | Taschenbuch | Englisch | 2026 | Practical Notebook | EAN 9782489483994 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. …