BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20250309T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20251102T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20251107T023046Z UID:1DBBB212-CD41-41F3-880C-D082A6D4A924 DTSTART;TZID=America/New_York:20250920T133000 DTEND;TZID=America/New_York:20251101T163000 DESCRIPTION:September 20 through November 1\, 2025. Six Saturdays 1:30-4:30 pm (9/20\, 9/27\, 10/4\, 10/18\, 10/25\, 11/1).\n\nThe IEEE North Jersey S ection Communications Society Chapter is offering a course entitled\n"Prac tical Generative AI: A Hands-On Introduction for Technical Professionals". \n\nThis six-week introductory course in Generative AI is designed for a t echnical audience\nwith no prior specialization in AI or machine learning. It provides a practical\,\nhands-on approach to understanding how generat ive models like large language models (LLMs)\nwork and how they can be app lied across tasks involving text\, code\, images\, and video.\n\nThe cours e begins with foundational concepts\, including the evolution of generativ e AI\,\nand moves into core mechanics such as tokenization\, transformers\ , and prompt engineering.\nParticipants explore both the capabilities and limitations of tools like ChatGPT\,\nGoogle Gemini\, GitHub Copilot\, and various APIs. The course will include some suggested\nprojects using freel y tools such as Gemini and AWS.\n\nEach week combines a lecture with inter active demos and assignments to reinforce learning\nthrough real-world use cases. The latter weeks focus on building simple GenAI-powered\napps and understanding limitations such as bias\, hallucinations\, and data privacy .\nThe course wraps up with future directions in AI and equips participant s with the skills\nto responsibly use and to integrate generative models i nto their own technical workflows.\n\nThe IEEE North Jersey Section's Comm unications Society Chapter can arrange for providing IEEE CEUs - Continuin g Education Units (for a $5 charge) upon completion of the course. Course prices: $75 for Undergrad/Grad/Life/ComSoc members\, $100 for IEEE members \, $150 for non-IEEE members. If paying by check\, make payee out to "IEEE North Jersey Section".\n\nCo-sponsored by: Education Committee\n\nSpeaker (s): Thomas Long\, \n\nAgenda: \nAgenda: The primary objective of this cou rse is to provide students with an understanding of\nGen AI\, tools and te chniques used\, the wide variety of applications\, and an Agentic future.\ nThe material covered includes an introduction to the concepts and how to build applications\nusing these concepts. On the completion of the course\ , students will learn:\n\nWeek 1: Introduction to Generative AI\nGoal: Gro und the audience in what Generative AI is\, its evolution\, and why it mat ters.\nTopics:\nHistory of generative models (GANs → Transformers)\, Mul ti-modal use cases\,\nOverview of LLMs\, Economics\, and Regulatory landsc ape.\n\nWeek 2: How Generative AI Works\nGoal: Demystify the architecture and inner workings of generative models.\nTopics:\nReview of deep neural n etworks and core ideas like: tokenization\, embeddings\,\nattention\, tran sformers\, how to train an LLM. What is the differences between\nFine-tuni ng vs. pretraining vs. prompt engineering\, and how to deal with\nhallucin ations\, biases\, context windows\n\nWeek 3: Building with Generative AI A PIs\nGoal: Equip learners to integrate LLMs into real-world apps.\nTopics: \nWhat are the key APIs available to use (OpenAI\, Google Gemini\, AWS\, H uggingFace)\,\nUsing and calling models with Python\, Building a simple Ge nAI-powered app (chatbot)\nand what is prompt templating and chaining\n\nW eek 4: Prompt Engineering for Developers\nGoal: Learn effective prompting strategies for real-world applications.\nTopics:\nDifferent types include Zero-shot\, few-shot\, chain-of-thought prompting\,\nCommon prompt enginee ring mistakes\, System messages and role prompts\, and\nCode generation wi th LLMs (Copilot\, Gemini+Colab\, GPT-4)\n\nWeek 5: Image & Video Generati on\nGoal: Broaden the view beyond text\; explore image and video synthesis .\nTopics:\nHow to do image generation using diffusion models (DALL·E\, M idjourney\, Stable Diffusion)\nHow to do video generation using Google Veo \n\nWeek 6: Generative AI Agents and Autonomous Workflows\nGoal: Introduce AI agents\, their architecture\, and how they orchestrate autonomous task s using LLMs.\nTopics:\nWhat are AI agents and how to agents use tools\, m emory\, and planning.\nReal world use cases: research assistants\, workflo w automation\, task chaining\nRisks and guardrails: failure cases\, cost\, ethical boundaries\, and\nwhat is AGI and the alignment problem?\n\nTechn ical Requirements :\n\nAccess to a tool such as ChatGPT or Google Gemini w ill be necessary to complete most examples\nusing prompts. Coding demos in this course will use the Python programming language and will\nbe distrib uted in the form of Colab notebooks. During the latter portion of the cour se\,\ncoding demos will make use of the Google Gemini APIs. These examples can easily be adapted\nto other frameworks such OpenAI APIs\, etc.\n\nBas ic programming skills and some familiarity with the Python language are as summed.\nStudents are expected to be able to bring a laptop in order to us e Google Colab Notebooks.\n\nThe course is intended to be subdivided into six sessions\, each three hours long for a total of 18\ncourse hours. Each lecture is further subdivided into lecture\, guided and independent proje ct based\nexercises to build experience with hands-on techniques. CEUs wil l be made available.\n\nThis course will be held at FDU - Teaneck\, NJ cam pus. Checks should NOT be mailed to this address.\nCan physically bring (p referred) checks in person on the first day or use online payments at regi stration.\nEmail the organizer for any questions about course\, registrati on\, or other issues.\n\nRoom: Room 205\, Bldg: Becton Building \, FDU Met ropolitan Campus\, 960 River Road\, Teaneck\, New Jersey\, United States\, 07666 LOCATION:Room: Room 205\, Bldg: Becton Building \, FDU Metropolitan Campus\ , 960 River Road\, Teaneck\, New Jersey\, United States\, 07666 ORGANIZER:a.j.patel@ieee.org SEQUENCE:31 SUMMARY:Practical Generative AI: A Hands-On Introduction for Technical Prof essionals URL;VALUE=URI:https://events.vtools.ieee.org/m/497080 X-ALT-DESC:Description: <br /><p>September 20 through November 1\, 2025. Si x Saturdays 1:30-4:30pm (9/20\, 9/27\, 10/4\, 10/18\, 10/25\, 11/1).</p>\n <p>The IEEE North Jersey Section Communications Society Chapter is offerin g a course entitled <br>"Practical Generative AI: A Hands-On Introduction for Technical Professionals".&nbsp\;</p>\n<p>This six-week introductory co urse in Generative AI is designed for a technical audience&nbsp\;<br>with no prior specialization in AI or machine learning. It provides a practical \,&nbsp\;<br>hands-on approach to understanding how generative models like large language models (LLMs)&nbsp\;<br>work and how they can be applied a cross tasks involving text\, code\, images\, and video.&nbsp\;</p>\n<p>The course begins with foundational concepts\, including the evolution of gen erative AI\,&nbsp\;<br>and moves into core mechanics such as tokenization\ , transformers\, and prompt engineering.&nbsp\;<br>Participants explore bo th the capabilities and limitations of tools like ChatGPT\,&nbsp\;<br>Goog le Gemini\, GitHub Copilot\, and various APIs. The course will include som e suggested&nbsp\;<br>projects using freely tools such as Gemini and AWS.< /p>\n<p>Each week combines a lecture with interactive demos and assignment s to reinforce learning&nbsp\;<br>through real-world use cases. The latter weeks focus on building simple GenAI-powered&nbsp\;<br>apps and understan ding limitations such as bias\, hallucinations\, and data privacy.&nbsp\;< br>The course wraps up with future directions in AI and equips participant s with the skills&nbsp\;<br>to responsibly use and to integrate generative models into their own technical workflows.</p>\n<p>The IEEE North Jersey Section's Communications Society Chapter can arrange for providing IEEE CE Us - Continuing Education Units (for a $5 charge) upon completion of the c ourse.&nbsp\; Course prices: $75 for Undergrad/Grad/Life/ComSoc members\, $100 for IEEE members\, $150 for non-IEEE members.&nbsp\; If paying by che ck\, make payee out to "IEEE North Jersey Section".</p><br /><br />Agenda: <br /><p>Agenda: The primary objective of this course is to provide stude nts with an understanding of&nbsp\;<br>Gen AI\, tools and techniques used\ , the wide variety of applications\, and an Agentic future.<br>The materia l covered includes an introduction to the concepts and how to build applic ations<br>using these concepts. &nbsp\;On the completion of the course\, s tudents will learn:</p>\n<p>Week 1: Introduction to Generative AI<br>Goal: Ground the audience in what Generative AI is\, its evolution\, and why it matters.<br>Topics:<br>History of generative models (GANs &rarr\; Transfo rmers)\, Multi-modal use cases\,&nbsp\;<br>Overview of LLMs\, Economics\, and Regulatory landscape.</p>\n<p>Week 2: How Generative AI Works&nbsp\;<b r>Goal: Demystify the architecture and inner workings of generative models .<br>Topics:<br>Review of deep neural networks and core ideas like: tokeni zation\, embeddings\,&nbsp\;<br>attention\, transformers\, how to train an LLM. &nbsp\;What is the differences between<br>Fine-tuning vs. pretrainin g vs. prompt engineering\, and how to deal with<br>hallucinations\, biases \, context windows</p>\n<p>Week 3: Building with Generative AI APIs<br>Goa l: Equip learners to integrate LLMs into real-world apps.<br>Topics:<br>Wh at are the key APIs available to use (OpenAI\, Google Gemini\, AWS\, Huggi ngFace)\,<br>Using and calling models with Python\, Building a simple GenA I-powered app (chatbot)<br>and what is prompt templating and chaining</p>\ n<p>Week 4: Prompt Engineering for Developers<br>Goal: Learn effective pro mpting strategies for real-world applications.<br>Topics:<br>Different typ es include Zero-shot\, few-shot\, chain-of-thought prompting\,<br>Common p rompt engineering mistakes\, System messages and role prompts\, and<br>Cod e generation with LLMs (Copilot\, Gemini+Colab\, GPT-4)</p>\n<p>Week 5: Im age &amp\; Video Generation<br>Goal: Broaden the view beyond text\; explor e image and video synthesis.<br>Topics:<br>How to do image generation usin g diffusion models (DALL&middot\;E\, Midjourney\, Stable Diffusion)<br>How to do video generation using Google Veo</p>\n<p>Week 6: Generative AI Age nts and Autonomous Workflows<br>Goal: Introduce AI agents\, their architec ture\, and how they orchestrate autonomous tasks using LLMs.<br>Topics:<br >What are AI agents and how to agents use tools\, memory\, and planning.<b r>Real world use cases: research assistants\, workflow automation\, task c haining<br>Risks and guardrails: failure cases\, cost\, ethical boundaries \, and&nbsp\;<br>what is AGI and the alignment problem?</p>\n<p>Technical Requirements :</p>\n<p>Access to a tool such as ChatGPT or Google Gemini w ill be necessary to complete most examples&nbsp\;<br>using prompts. Coding demos in this course will use the Python programming language and will&nb sp\;<br>be distributed in the form of Colab notebooks. During the latter p ortion of the course\,&nbsp\;<br>coding demos will make use of the Google Gemini APIs. These examples can easily be adapted&nbsp\;<br>to other frame works such OpenAI APIs\, etc.&nbsp\;</p>\n<p>Basic programming skills and some familiarity with the Python language are assummed.<br>Students are ex pected to be able to bring a laptop in order to use Google Colab Notebooks .</p>\n<p>The course is intended to be subdivided into six sessions\, each three hours long for a total of 18&nbsp\;<br>course hours. Each lecture i s further subdivided into lecture\, guided and independent project based&n bsp\;<br>exercises to build experience with hands-on techniques.&nbsp\; CE Us will be made available.</p>\n<p>This course will be held at FDU - Teane ck\, NJ campus.&nbsp\; Checks should NOT be mailed to this address.&nbsp\; <br>Can physically bring (preferred) checks in person on the first day or use online payments at registration.&nbsp\; <br>Email the organizer&nbsp\ ;for any questions about course\, registration\, or other issues.</p> END:VEVENT END:VCALENDAR