Introduction to Artificial Intelligence (IBM)

Colleagues, the “Introduction to Artificial Intelligence (AI)” program from IBM will equip you to describe what AI is and explain the core concepts related to AI, demonstrate how AI applications and use cases can transform our lives and our work, recognize the potential and impact of AI to transform businesses and careers, and describe the issues, limitations, and ethical concerns surrounding AI. Artificial Intelligence is all around us, seamlessly integrated into our daily lives and work. Enroll in this course to understand the key AI terminology and applications and launch your AI career or transform your existing one. This course covers core AI concepts, including deep learning, machine learning, and neural networks. You’ll examine generative AI models, including large language models (LLMs) and their capabilities. Furthermore, you’ll examine AI’s application across domains such as natural language processing (NLP), computer vision, and robotics, uncovering how these advancements drive innovation and use cases. The course includes hands-on labs and a project, providing an opportunity to explore AI’s use cases and applications. You will also hear from expert practitioners about the capabilities, applications, and ethical considerations surrounding AI. Skill-based training modules include: 1) Introduction and Applications of AI, 2) AI Concepts, Terminology, and Application Domains, 3) Business and Career Transformation Through AI, and 4) Issues, Concerns, and Ethical Considerations.

Enroll today (teams & execs welcome): http://imp.i384100.net/kOWjex 

Download your free AI-ML-DL - Career Transformation Guide.

For your listening-reading pleasure:

1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  

2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle) 

3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) or (Kindle) 

Much career success, Lawrence E. Wilson - AI Academy (share with your team)