IBM Coursera Courses Study Guides & Answers
IBM CYBERSECURITY ANALYST PROFESSIONAL CERTIFICATE
An increasing array of lucrative opportunities within the security sector no longer mandate a college degree. This Professional Certificate is designed to furnish you with the technical acumen necessary to step into a Cybersecurity Analyst position with confidence.
Through a blend of instructional content and hands-on labs, you’ll be immersed in fundamental concepts such as network security, endpoint protection, incident response, threat intelligence, penetration testing, and vulnerability assessment, ensuring your readiness for the job market.
- Course 1 – Introduction to Cybersecurity Tools & Cyber Attacks
- Course 2 – Cybersecurity Roles, Processes & Operating System Security
- Course 3 – Cybersecurity Compliance Framework & System Administration
- Course 4 – Network Security & Database Vulnerabilities
- Course 5 – Penetration Testing, Incident Response and Forensics
- Course 6 – Cyber Threat Intelligence
- Course 7 – Cybersecurity Capstone: Breach Response Case Studies
- Course 8 – IBM Cybersecurity Analyst Assessment
IBM AI DEVELOPER Professional Certificate
In this self-paced Professional Certificate program, you will master the fundamentals of software engineering, AI, generative AI, prompt engineering, HTML, JavaScript, and Python programming. Through hands-on labs and projects, you’ll gain practical experience in building AI apps to discuss in interviews. Upon successful completion of the program, you will receive a Professional Certificate from Coursera and a digital badge from IBM, showcasing your AI proficiency.
Additionally, you will have access to career assistance, job search, and interview preparation resources. Throughout the program, you will complete hands-on labs and projects that help you practice and apply your newly acquired generative AI and programming skills.
- Course 1 – Introduction to Software Engineering
- Course 2 – Introduction to Artificial Intelligence (AI)
- Course 3 – Generative AI: Introduction and Applications
- Course 4 – Generative AI: Prompt Engineering Basics
- Course 5 – Introduction to HTML, CSS, & JavaScript
- Course 6 – Python for Data Science, AI & Development
- Course 7 – Developing AI Applications with Python and Flask
- Course 8 – Building Generative AI-Powered Applications with Python
- Course 9 – Generative AI: Elevate Your Software Development Career
- Course 10 – Software Developer Career Guide and Interview Preparation
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