How to Retrain for the New AI Economy webinar & replay, w/Theo WAF

The skills, technologies, and engineering mindset needed to succeed in an AI-driven workforce

Artificial intelligence is fundamentally changing the technology industry. Traditional IT roles are evolving, automation is transforming business operations, and employers are increasingly seeking professionals who can do more than configure systems, write scripts, or obtain certifications.

The question is no longer whether AI will change your career. The question is whether you are developing the skills to participate in building the new economy.

In this webinar, we will examine how technology professionals can retrain for an increasingly AI-driven workplace by moving beyond traditional IT support, cloud administration, and isolated technical skills toward modern software engineering, cloud architecture, cybersecurity, and intelligent automation.

We will explore how AI agents, large language models (LLMs), multi-agent systems, cloud platforms, and legacy enterprise technologies are converging to create new career opportunities.

Rather than focusing exclusively on AI tools and prompting techniques, this session will emphasize the engineering foundations required to build reliable, secure, and scalable AI-enabled solutions.

Topics will include:

The changing technology workforce: Understanding how AI is transforming traditional IT roles and what new technical responsibilities are emerging.

Beyond certifications: Why practical engineering experience, programming, architecture, and problem-solving abilities are becoming increasingly important.

Programming for the AI economy: The roles of Python, APIs, data structures, automation, and software engineering in developing intelligent systems.

Cloud computing and AI infrastructure: How AWS, Azure, and Google Cloud support modern AI applications, agent orchestration, and enterprise automation.

Agentic AI and multi-agent systems: Understanding how intelligent agents collaborate, use tools, retrieve knowledge, and execute complex business workflows.

Cybersecurity and AI governance: Why identity, authorization, policy enforcement, observability, and independent verification are essential in autonomous systems.

Modernizing legacy enterprise technology: How organizations can combine decades of institutional knowledge, traditional programming languages, and modern AI architectures.

Developing a retraining strategy: How to move from learning individual technologies to building integrated projects that demonstrate real engineering competence.

We will also discuss why studying foundational computer science, historical AI research, and established software engineering principles remains relevant—even as new AI models and frameworks emerge.

The objective is not simply to teach people how to use artificial intelligence. It is to help them understand how to become the engineers, architects, security professionals, and technical problem-solvers who build and maintain the systems of the future.

Who should attend?

This webinar is designed for IT professionals, cloud engineers, cybersecurity practitioners, software developers, career changers, and technically motivated individuals who want to understand how to reposition their skills for the next generation of technology careers.

The new AI economy will require more than familiarity with AI tools. It will require people who understand the systems behind them.

What Attendees Will Learn

• In this webinar, participants will learn which AI Skills to attain for usage at work. This will include the following:
• Claude
• ChatGPT
• Ollama
• There will be live demos within the webinar.