fbpx

Generative AI Fundamentals

A practical and beginner-friendly introduction to AI for working professionals

  • Schedule

    26 – 27 June 2023

    14.00 – 17.00 (WIB)

  • Online-Interactive Learning

    Via Zoom

  • Investment

    Rp. 2.000.000

LPS employees have the opportunity to claim a complimentary ticket for this workshop by completing the provided form. It is important to note that slots are limited, so we encourage you to enroll at your earliest convenience.

WORKSHOP STARTS IN

0Weeks0Days0Hours0Minutes0Seconds

Overview:

This comprehensive two-day workshop provides an in-depth exploration into Generative Artificial Intelligence (AI) and Large Language Models (LLMs). It offers valuable insights into the evolution, principles, and applications of these powerful technologies, highlighting their transformative potential across various industries.

Participants will dive into an array of practical use cases, real-world case studies, and hands-on exercises, gaining a thorough understanding of the possibilities and challenges in AI deployment. From content generation and process automation to ethical considerations and responsible AI development, the course ensures a holistic understanding of the field.

Whether you’re an AI enthusiast, a business leader, or a professional looking to upskill, this workshop equips you with the knowledge and skills you need to leverage the power of Generative AI and Large Language Models, opening up new avenues for innovation and efficiency in your organization.

Course Syllabus

DAY 1

  • Introduction to Generative AI
  • Evolution of AI and its Different Forms
  • Contrast of Discriminative and Generative Models
  • Primer on Generative Models (GANs, VAEs, Transformers)
  • Real-world Use Cases (Text, Images, Video, Music Content Generation)
  • Data Augmentation, Synthesis, and Personalization
  • Automation and Optimization Applications
  • Simulation, Risk Analysis, and Scenario Planning
  • Success Stories across Various Sectors (Manufacturing, Healthcare, Finance, etc.)
  • Discussion on Challenges and Implemented Solutions
  • Highlighting the Benefits and ROI
  • Exploration of Ethical Concerns (Bias, Fairness, Accountability, Transparency)
  • Discussion on Intellectual Property and Data Privacy Issues
  • Responsible AI Development and Deployment Guidelines
  • Internal AI Team Formation vs. External Vendor Partnership
  • Strategies for AI Integration into Existing Workflows and Systems
  • Change Management and Employee Upskilling Approaches
  • Upcoming Advancements in Generative AI
  • Potential Impact on Job Market and Workforce
  • Opportunities for Cross-industry Collaboration
  • Summary of Key Takeaways
  • Open Discussion and Q&A
  • Sharing of Additional Learning Resources

DAY 2

  • Comprehension of the LLM Concept and Its Role in Text Generation
  • Exploration of Practical LLM Applications (Chatbots, Language Translation, Content Generation, Virtual Assistants)
  • Simplified Explanation of LLM Operation and Training
  • Introduction to Prominent LLMs (GPT-3, BERT)
  • Step-by-step Guidance on LLM Use via User-friendly Platforms or APIs
  • Text Completion and Generation with LLMs
  • Training on Asking Questions to LLMs and Extracting Relevant Information
  • Personalizing and Customizing LLMs for Specific Tasks
  • LLMs for Productivity Enhancement (Task Automation, Report Generation, Research Assistance)
  • Role of LLMs in Content Creation (Blogs, Social Media, Creative Writing)
  • Ethical Discussions and Addressing Biases in LLMs
  • Best Practices for Effectively Using LLMs (Query Refinement, Information Verification, Output Assessment)

YOUR INSTRUCTORS

Nayoko Wicaksono

CEO at Algoritma

Nayoko is an entrepreneur and investor who has excelled in the tech startup sphere, with a special focus on the digital industry within Indonesia. His groundbreaking work includes the successful inception of the Plug and Play Accelerator in Indonesia, where he honed his expertise in cutting-edge technology and innovation, positioning numerous startups for success.

More recently, Nayoko identified a significant talent gap in data science in Indonesia, prompting him to work towards democratizing these critical skills. As an instructor for this course, he draws on his extensive experience with innovative technology and his understanding of the transformative power of Generative AI and Large Language Models. His goal is to equip participants with the tools they need to successfully navigate and leverage these advanced technologies in their respective fields.

Handoyo Sjarif

Sr. Data Science Instructor at Algoritma

Handoyo, a Senior Data Science Instructor at Algoritma Data Science School, is deeply committed to making data science accessible, advocating for its capacity to enhance productivity and societal improvement. He integrates his proficiency in both Python and R programming languages into his instruction, enriching his teachings with a dual language perspective.

With an impressive repertoire of over 800 hours of teaching experience, Handoyo has been instrumental in providing consultative data science training to a range of prestigious clients, including PT Sigma Metrasys Solution, PT. Indosat Ooredoo, and Bank Central Asia. His involvement in significant initiatives, such as the Auto Insurance Fraud Analysis for Jasa Raharja, further underscores his hands-on expertise. Through this course, participants can look forward to learning from Handoyo’s extensive experience and industry-specific knowledge in harnessing the power of Generative AI and Large Language Models.

Frequently Asked Questions

This course is suitable for beginners and individuals with varying levels of familiarity with AI and language models. Whether you’re a content creator, researcher, business professional, or simply curious about the world of Generative AI, this course provides a comprehensive introduction and practical skills to get you started.

No, programming experience is not required for this course. While familiarity with programming concepts may be helpful, the course is designed to be beginner-friendly and does not assume prior programming knowledge. The emphasis is on understanding the concepts and practical applications of Generative AI and Large Language Models.

There are no strict prerequisites for this course. However, having a basic understanding of concepts related to language processing and artificial intelligence will be beneficial. A curious mindset and eagerness to learn are the most important prerequisites.

The course is designed to provide a balance of theoretical understanding and practical application. Throughout the modules, you will have hands-on exercises, examples, and guidance on using Large Language Models for various tasks. This practical approach ensures that you can directly apply what you learn to real-world scenarios, such as content generation, data analysis, translation, and more.

Yes, you will have continued access to the course material even after completing the course. This allows you to revisit the content, refresh your knowledge, and access any updates or additional resources provided.