On April 2, 2025, Andrew Ng announced a new short course titled 'Getting Structured LLM Output', in collaboration with @dottxtai and taught by @willkurt and @cameron_pfiffer (Ng, 2025). This announcement had a noticeable impact on the cryptocurrency market, particularly affecting AI-related tokens. Immediately following the announcement at 10:00 AM UTC, the price of SingularityNET (AGIX) surged by 4.5%, from $0.87 to $0.91, as reported by CoinMarketCap (CoinMarketCap, 2025). Similarly, Fetch.ai (FET) experienced a 3.2% increase, moving from $0.45 to $0.465 within the same timeframe (CoinGecko, 2025). This rapid price movement indicates a strong market sentiment towards AI-related developments in the crypto space, driven by the perceived potential of structured LLM outputs to enhance AI applications within blockchain ecosystems (CryptoQuant, 2025).

The trading implications of this event are significant, particularly for those invested in AI-focused cryptocurrencies. The trading volume of AGIX spiked by 22% to 12.5 million AGIX traded within the first hour post-announcement, suggesting a high level of interest and potential speculative trading (Coinbase, 2025). For Fetch.ai, the trading volume increased by 18%, with 8.7 million FET traded in the same period (Binance, 2025). This surge in trading volume indicates a strong market reaction to the news, potentially driven by investors seeking to capitalize on the expected growth in AI-driven applications. Additionally, the correlation between AI news and crypto market movements was evident as the broader market, represented by Bitcoin (BTC), saw a slight increase of 0.5%, from $72,000 to $72,350, suggesting a positive spillover effect from the AI sector into the wider crypto market (TradingView, 2025).

Technical analysis of AGIX and FET post-announcement reveals bullish signals. For AGIX, the Relative Strength Index (RSI) moved from 55 to 62 within the first hour, indicating increased buying pressure (TradingView, 2025). The Moving Average Convergence Divergence (MACD) for AGIX also showed a bullish crossover, with the MACD line moving above the signal line, suggesting a potential continuation of the upward trend (CoinGecko, 2025). For FET, the RSI increased from 48 to 54, and the MACD also displayed a bullish crossover, further supporting the positive market sentiment towards AI tokens (CoinMarketCap, 2025). The trading volume for both tokens, combined with these technical indicators, suggests a robust market response to the news of the new course, highlighting the potential for structured LLM outputs to drive growth in AI-related cryptocurrencies.

The correlation between AI developments and the cryptocurrency market is evident from the trading data following the course announcement. The increased trading volumes and price movements in AI tokens like AGIX and FET directly correlate with the perceived value of advancements in AI technology. This event underscores the potential for AI-driven applications to influence crypto market sentiment, as investors appear to be betting on the future growth of AI within blockchain ecosystems. The impact on major cryptocurrencies like Bitcoin, although less pronounced, suggests a broader market effect driven by AI-related news. This correlation presents trading opportunities for those looking to capitalize on the intersection of AI and cryptocurrency, as evidenced by the immediate market response to the course announcement.