AI Workplace Training

Introductory Webinar
"Building a Career in AI: Essential Skills and Strategies"

Section 1: Introduction (5 minutes)

• Brief overview of the importance of AI in today's world

• Importance of building a career in AI

Section 2: Career Growth Fundamentals (15 minutes)

• Three steps to career growth in AI

• Learning technical skills for a promising AI career

• Should you learn math to get a job in AI?

Section 3: Building AI Projects (20 minutes)

• Scoping successful AI projects

• Finding projects that complement your career goals

• Building a portfolio of projects that shows skill progression

Section 4: Job Search and Career Development (20 minutes)

• A simple framework for starting your AI job search

• Using informational interviews to find the right job

• Finding the right AI job for you

• Keys to building a career in AI

Section 5: Overcoming Challenges (10 minutes)

• Overcoming imposter syndrome in the AI field

• Strategies for staying motivated and focused

Section 6: Conclusion (5 minutes)

• Recap of key takeaways

• Final thoughts: Make every day count in building a career in AI
  Q&A Session (10-15 minutes)

Webinar II focusing on 5 AI technologies
"Unlocking the Power of Advanced AI: Exploring 5 Cutting-Edge Technologies"

Section 1: Introduction to Advanced AI Technologies (5 minutes)

• Brief overview of the current state of AI and its applications

• Introduction to the 5 AI technologies that will be covered in the webinar

Section 2: Key AI Technologies (40 minutes)

• Generative AI (GenAI): Explore the capabilities and applications of GenAI, including text generation, image synthesis, and music composition

• Agentic AI: Discuss the concept of Agentic AI, where AI models act as agents to cooperate, plan, and execute complex tasks

• Multimodal LLMs: Examine the potential of multimodal large language models (LLMs) in processing and generating diverse data types, such as text, images, and audio

• Vector Databases: Learn about the role of vector databases in customizing GenAI and making it more trustworthy

• Retrieval-Augmented Generation (RAG): Understand how RAG enhances the relevance and accuracy of AI-generated content by incorporating real-time enterprise data

Section 3: Real-World Applications and Case Studies (30 minutes)

• Showcase real-world applications and case studies of the 5 AI technologies in various industries, such as healthcare, finance, and retail

• Highlight the benefits and challenges of implementing these technologies

Section 4: Implementation Strategies and Best Practices (20 minutes)

• Discuss strategies for implementing these advanced AI technologies, including data management, model training, and deployment

• Share best practices for ensuring the accuracy, security, and trustworthiness of AI systems

Section 5: Conclusion and Q&A (10 minutes)

• Recap the key takeaways from the webinar

• Address questions and concerns from the audience