IBM Skills Academy

Organizations across all industries are faced with unmanageable levels of cyber threats brought on by a changing threat landscape.

The optimum strategy to respond to these threats is to make security an integral part of culture and overall structure—to help organizations better prepare for digital transformation in the age of the fourth industrial revolution.

This course comprises a unique mix of cybersecurity technical and real-world industry skills, designed to provide awareness on the impact of cybersecurity threats in key industries across geographies.

PREREQUISITES

• Basic IT literacy skills

JOURNEY: 80 HOURS

• 25% Concepts: expanding the knowledge and understanding of the topic through lecture training, examples, videos and quizzes.
• 35% Technologies: actual implementation of the concepts learned through simulations, hands-on labs and games.
• 40% Industry Use Cases: realization of the real-world impact of the topics covered through the exposure to industry case studies.

COURSE OBJECTIVES

• Analyze top targeted industries and trends.
• Explore how cyber criminals are using operating system tools to get control.
• Uncover why cyber criminals are changing their techniques.
• Determine what steps you can take to protect your organization against these threats.
• Understand the tools used by penetration testers and ethical hackers (network CLI tools, Telnet, SSH, Nmap, Wireshark, and many others).
• Leverage high-end security enterprise solutions in high demand such as: IBM QRadar SIEM, Vulnerability Manager, UBA, IBM QRadar Advisor with Watson, I2 Analyst Notebook and IBM Cloud X-Force Exchange.
• Gain real-world practice on critical threat modeling methodologies and frameworks such as MITRE, Diamond, IBM IRIS, and IBM Threat Hunting.
• Participate in Security Operation Center (SOC) role-playing scenarios: experiencing research insights through design thinking practices.
• Experience the basis for SOC—enacting the roles of triage analysts, incident response analysts, and threat intelligence analysts.

Re-imagine fundamental business processes and invent new styles of secure digital interactions that will change the way the world works.

Discover how blockchain can bring together allies across departments and disciplines,
industries and organizations, and countries and cultures.

Blockchain can do for business what the internet did for communications. This explores the topics, technology and skills required to gain practice in the successful implementation of blockchain solutions.

PREREQUISITES

• Basic IT literacy skills
• Fundamental e-Commerce concepts such as transactions, contracts, encryption

JOURNEY: 75 HOURS

• 25% Hands-on labs: Putting knowledge into practice by experiencing blockchain technology and tools.
• 35% Group exercises:  A chance to question and evaluate knowledge through discussions and exercises. 
• 40% Concepts: Expanding the knowledge and understanding of the topic through lecture training and examples. 

COURSE OBJECTIVES

• Understand how blockchain solutions are transforming the industry landscape.
• Develop a deeper understanding of blockchain technical topics such as consensus, cryptography, privacy and security.
• Acquire hands-on expertise using popular blockchain open source technology, including Hyperledger Fabric.
• Design and develop for a permissioned blockchain.
• Explore a variety of blockchain case studies, including food provenance, container tracking, payments, identity.
• Experience teamwork agile industry practices using Design Thinking.
• Engage in role-playing challenge-based scenarios to propose real-world blockchain solutions.

The Internet of Things (IoT) refers to the growing range of connected devices that send data across the Internet.

A “Thing” is any object or device with embedded electronics that can transfer data over a network – without any human interaction. So, imagine if you had smart devices in your car, your workplace or even on yourself.

The IoT can help transform industries leveraging cutting-edge technologies such as cloud, artificial intelligence, and blockchain, using information gathered in real-time by thousands of sensors globally.

This course explores the topics, technology and skills required to gain practice in the successful implementation of IoT solutions.

PREREQUISITES

• Computer science fundamentals
• Access to IBM Cloud
• Exposure to the IBM Skills Academy Portal learning environment

JOURNEY: 80 HOURS

• 25% Concepts: expanding the knowledge and understanding of the topic through lecture training, examples, videos and quizzes.
• 35% Technologies: actual implementation of the concepts learned through simulations, hands-on labs and games.
• 40% Industry Use Cases: realization of the real-world impact of the topics covered through the exposure to industry case studies.

COURSE OBJECTIVES

• Explain what IoT is, how to connect devices to the Watson IoT Platform solution, and how to get started with IBM Watson IoT Platform by using IBM Watson IoT Platform Starter.
• Describe the IoT reference architecture, key capabilities of IBM Cloud, advanced features of Watson IoT Platform.
• List the communication protocols that are used in IoT solutions, services that are available in the IBM Cloud Catalog, and the Watson artificial intelligence (AI) services.
• List the features of Watson IoT Platform.
• Use the Watson IoT Platform dashboard.
• Manage devices and set up security policies on Watson IoT Platform and user access and application on Watson IoT Platform.
• Explain the concept of flow-based programming and Node-RED, the difference between an API, library, and software development kit (SDK).
• Describe and compare the OSI and the TCP/IP reference models, and the MQTT and HTTP protocols.
• Explain the characteristics of REST APIs and JSON data format.
• Describe the Cloudant database service on IBM Cloud, IBM Geospatial Analytics as a use case of IBM Streaming Analytics, and IBM Cloud Object Storage.

This course explores the topics, technology and skills required to gain practice in the successful application of AI techniques to address key industry problems.

AI Practitioners – Can contribute to the digital transformation of enterprises by leveraging their understanding on industry AI adoption patterns.

Familiar with AI technologies such as natural language processing, machine learning, neural networks, virtual agents, and computer vision.

PREREQUISITES

• Basic IT literacy skills
• Fundamental modern software concepts such as databases, parallel processing, searching, indexing
• Understanding that machine learning is not static programming

JOURNEY: 75 HOURS

• 25% Concepts: expanding the knowledge and understanding of the topic through lecture training, examples, videos and quizzes.
• 35% Technologies: actual implementation of the concepts learned through simulations, hands-on labs and games.
• 40% Industry Use Cases: realization of the real-world impact of the topics covered through the exposure to industry case studies.

COURSE OBJECTIVES

• Understand the evolution and relevance of AI in the world today.
• Explore opportunities brought by the intersection between human expertise and machine learning.
• Analyze existing and future implementations of AI solutions across multiple industries including automotive, education, policy, social media, government, consumer, and others.
• Gain a competitive edge using low-code cloud based AI tools and pre-built machine learning algorithms.
• Understand AI technology building blocks, including natural language processing, machine and deep learning, neural networks, virtual agents, autonomics and computer vision.
• Develop a deeper understanding of machine learning techniques and the algorithms that power those systems.
• Learn in-demand agile industry practices for Design Thinking and AI through an end-to-end industry use case experience.
• Engage in role-playing challenge-based scenarios to propose real-world solutions to different industries using AI and design thinking.