Video course · 6 chapters · 25 min · certificate
AI Trends: Reliable LLMs, Context Engineering, and Agents
Where AI stands in 2026 and what to focus on: why LLMs still disappoint in business, Google's rise, workflows versus agents, the future of agentic coding, context engineering, voice interfaces, and why it's still early.
What you'll learn
- Assess the state of AI in business realistically
- Understand Google's growing role
- Choose between workflows and agents
- Anticipate agentic coding improvements
- Practise context engineering
- Position yourself for early-days opportunities
Chapters
6 chapters · 24:40-
6:02
01Landscape Members
The state of AI in 2026
LLMs still hallucinate and many companies struggle to get value.
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3:12
02Landscape Members
Google's rising influence
Google catching up to state-of-the-art models.
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4:35
03Design Members
Workflows versus agents
When to use deterministic workflows and when agents.
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3:13
04Coding Members
The future of agentic coding
Expect major improvements in coding agents.
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3:22
05Skills Members
Context engineering and voice
Context engineering as a key skill, and voice interfaces.
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4:16
06Mindset Members
Embrace the early days
You're already in the top percentile; it's still early.
Jobs this course suits
Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.