Core Insights - The article highlights the stark contrast in the job market, where traditional tech positions are being eliminated while demand for AI model engineers is surging, with salaries starting at 1.2 million yuan per year [2][11] - It emphasizes the urgent need for professionals skilled in three core technologies: RAG (Retrieval-Augmented Generation), AI agents, and model fine-tuning, which are essential for developing AI applications [2][8] Group 1: Job Market Dynamics - Traditional tech roles are rapidly being phased out, with even experienced professionals being let go, indicating a shift in industry demands [1] - There is a significant shortage of qualified AI model engineers, as evidenced by the difficulty in filling positions despite high salaries [2][11] - The article suggests that the current AI wave presents a critical opportunity for tech professionals to pivot their careers [2][11] Group 2: Required Skills and Training - Companies are looking for engineers who can integrate external information into models (RAG), enable AI to perform tasks autonomously (AI agents), and optimize models for specific tasks (fine-tuning) [2][8] - A training course titled "Practical Training in AI Model Application Development" is being offered to help professionals acquire these essential skills [3][14] - The course includes live sessions that combine theoretical knowledge with practical projects, focusing on RAG, AI agents, and fine-tuning [3][6] Group 3: Career Advancement Opportunities - Participants in the training will receive a job-seeking package that includes interview question banks and insights into high-paying job opportunities [3][9] - The course aims to help individuals build a competitive edge in the job market, particularly for those concerned about job security as they age [11][16] - Successful completion of the course is expected to enhance participants' resumes and improve their chances of securing high-paying positions [13][16]

Core Viewpoint - The article emphasizes the importance of integrating existing programming skills with large model technologies to enhance career prospects and salary opportunities in the AI field [1]. Group 1: Course Offerings - A course titled "Large Model Application Development Practical Training" is designed to help developers master the complete AI application development process through practical projects and code breakdown [1]. - The course covers essential technologies such as RAG, AI Agent, and Transformer architecture, providing a comprehensive learning path from basics to advanced applications [8]. - The course has served over 20,000 students and has received positive feedback, with many participants securing high-paying job offers [10]. Group 2: Learning Outcomes - Participants will learn to fine-tune mainstream large models like DeepSeek and Qwen for specific scenarios, improving model performance and task accuracy [10]. - The course includes practical applications of RAG technology for efficient knowledge retrieval and generation in various sectors such as law, healthcare, and finance [10]. - Students will also learn to design and develop AI Agents for multi-task collaboration and complex problem-solving in industry-specific contexts [10]. Group 3: Career Development - The course aims to help participants build technical barriers, avoid job insecurity, and enhance their career development over the next 20 years [12]. - It offers insights into current job market trends, salary expectations, and career paths from the perspective of hiring managers [19]. - The program provides reliable internal referral opportunities and direct hiring benefits, facilitating quicker access to high-paying job offers [19].