With the explosion of GhatGPT, artificial intelligence and R&D performance will undoubtedly become the two most important keywords in 2023. The rapid development of large-scale language model LLM and related applications is having a profound impact on the way R&D teams work, which almost symbolizes the arrival of a new productivity revolution.
So, as an engineer, how to keep up with the trend of the times and explore new processes of software development? And how to combine AI technology with R&D performance in order to achieve maximum value for the enterprise?
In order to help more engineers master end-to-end R&D effectiveness (DevOps) skills, understand and use prompt word engineering to optimize the application method of AI technology, so as to improve production efficiency and quality in the field of enterprise software R&D. IDCF will hold an AI dark horse challenge in Beijing on July 22-23, "experience the silky feeling of 10 times faster R&D performance improvement".
dark horse culture
When it comes to dark horses, we will inevitably think of Microsoft, Xiaomi, and JD.com. These big companies have launched their own hackathons internally, aiming to help more engineers explore unknown technical fields through practical experience. Therefore, the definition of a hackathon is not only a technical competition, but also more about collision, cooperation, and improvement in addition to competition. So, in general, participating in hackathons has the following value for enterprises and individuals:
1. Learning and growth: Expose to new technologies, tools and solutions, improve your technical ability and knowledge level. In addition, interaction and collaboration with other participants facilitates personal learning and growth.
2. Innovation and Creativity: Hackathon encourages participants to come up with innovative solutions and realize them within a limited time. This exercise in innovation and creativity helps individuals develop problem-solving and independent thinking skills.
3. Career Development: Increase personal exposure, meet and network with professionals from different fields.
4. Innovation and problem solving: Participants can propose innovative solutions based on the business needs of enterprises and verify their feasibility in a short period of time. This helps companies identify new business opportunities and solve existing problems.
5. Team building: cultivate teamwork spirit and communication skills, and strengthen collaboration and cooperation between teams.
6. Brand promotion and marketing: By demonstrating the company's technical strength and problem-solving ability, it can attract the attention of potential customers and partners and promote marketing.
After talking about the benefits of participating in the Dark Horse, let’s talk about IDCF’s exclusive and original AI Dark Horse Challenge, which is an efficient skill training project. Through two-day and one-night group PK competitions, it can lead each participant to build and release a product from 0 to 1 within 36 hours, so that each participant can deeply understand the latest Silicon Valley innovative thinking and methods through immersive learning.
The unique education format combines coaching, student practice, high-intensity exercises, hands-on landing, and on-site delivery feedback, aiming to ensure that every participant can master end-to-end R&D effectiveness (DevOps) skills, so as to gain new understanding and cognition. In addition, in the hackathon course, by introducing AI tools such as ChatGPT, Midjourney and GitHub Copilot, students can better understand and use prompt word engineering to optimize the application method of AI technology, thereby improving production efficiency and quality in the field of enterprise software development.
Up to now, the IDCF community has organized more than 50 DevOps hackathon challenges in Beijing, Shanghai, Shenzhen, Chengdu, Hangzhou, Qingdao and other places, with more than 100 participating companies and about 2,000 participants.
AI+ R&D efficiency, improving the efficiency and quality of software R&D
1. Learn how to use AI technology and the concept of R&D effectiveness (DevOps) to improve the efficiency and quality of software R&D.
2. Master the end-to-end R&D performance (DevOps) system and skills map, and bring a new understanding to enterprise software R&D.
3. Immersive learning of Silicon Valley innovation and R&D concepts such as lean entrepreneurship, design thinking, and growth hacking, to expand horizons and achieve further growth.
4. Learn how to use prompt word engineering to optimize the application of AI technology in the improvement of enterprise R&D efficiency, and finally realize the application of business scenarios.
course income
By taking this course, you will gain:
1. Learn the core knowledge of end-to-end DevOps "5P framework" and key DevOps practices, including how to use generative AI technology to help software development managers and engineers quickly analyze the challenges faced in the product life cycle and improve processing efficiency;
2. Experience the collaborative team awareness of DevOps in the multi-role collaboration process, and learn how to use AI technology to promote cross-team communication and improve efficiency;
3. Master how to quickly locate users and pain points through AI technology, and form an inspiring product vision;
4. Master how to adopt user story maps to sort out requirements, plan version releases and extract MVPs, thereby improving product value and user experience;
5. Master how to make iterative planning, track iterative execution through the task board and make the project more efficient and high-quality;
6. Master how to use the continuous delivery pipeline, combined with AI technology to complete the continuous construction and continuous deployment of large and complex micro-service products, and improve the speed and quality of software development.
7. Learning and application of AI technology
• Advanced Prompt Engineering
• Azure OpenAI gpt-3.5 / gpt-4 / embedding
• Azure Speech
• MidJourney V5X
• Github Copilot
• AIRPM
In an "AI-first" business era, companies' differentiated competitive advantages and unique business value will increasingly be obtained from the adaptability of AI models to the company's unique data and business domain knowledge, so by participating in this course, companies will gain:
-
Cost reduction and efficiency increase: Based on real enterprise needs, use AI to provide innovative solutions and crowdsourcing ideas for business; assist in the extraction of digital experience within the enterprise, and improve enterprise training efficiency.
-
Talent training: Understand the core technology and future trends of AIGC, discover, select and train high-potential employees, empower digital application talents, improve the level and efficiency of AI talent training, and establish a professional digital talent echelon for enterprises.
-
Organizational development: Cultivate a group of excellent full-featured teams, promote the mutual integration of business technology, promote enterprise collaboration and cultivation of training culture, and make innovative applications deeply rooted in the hearts of the people.
suitable for the crowd
If you are concerned about the improvement of enterprise R&D efficiency, the application of AI technology in R&D, or anyone in an organization considering the transformation to DevOps working methods, you must not miss:
1. Enterprise R&D managers and engineers, especially those organizations and team members who pursue high-efficiency R&D methods, who want to introduce AI technology and DevOps thinking to improve the efficiency and quality of software R&D;
2. Individuals who have a higher pursuit of technical breadth and depth, who want to expand their technical horizons, join like-minded organizations, and get acquainted with technical contacts in the industry;
3. For the entire R&D center, covering business, product, and R&D fields, such as R&D director, Agile and DevOps coach, architect, project manager, process manager, development engineer, test engineer, product manager, demand analyst and other roles. By learning the course content, they can learn how to use AI technology and DevOps method to enhance the professional ability and teamwork ability of their roles, and improve production efficiency and quality in the field of enterprise software research and development, and gain a competitive advantage in the market.
schedule details
Module 0: [Introduction of pre-order knowledge]
0.1 Opening Icebreaker
0.2 Explanation of the end-to-end DevOps 5P framework
0.3 R&D Effectiveness (DevOps) Talent Growth Map and R&D Effectiveness (DevOps) Career Development Interpretation
0.4 R&D Effectiveness (DevOps) Online Learning Toolbox
• Industrial reshaping in the digital age
• Product Innovation Design Thinking
• DevOps team management
• DevOps engineering practice
0.5 AI Online Learning Toolbox
• AI prompt engineering basic mentality: import of AI basic knowledge, overview of large language model LLM and AGIC, prompt word engineering tutorial
• AI prompt engineering basic mentality: demonstration of AI-assisted software engineering capabilities, application of advanced prompt word engineering in the field of software engineering, demonstration of prompt word toolbox capabilities
Module 1: [Tesla Mob working mechanism]
Musk not only designed a grand corporate vision for Tesla, but also introduced a new set of Mob working mechanism for Tesla. This working mechanism is even more powerful with the blessing of AI, which promotes the high efficiency of Tesla's electric vehicle production. This module will introduce this working mechanism to the participants and serve as a team working mechanism throughout the 36 hours.
Module 2: 【Business Model Innovation】
Practice how to design a sexy business model for your project, how to conduct business model brainstorming with AI assistance, quickly understand a brand new industry with the help of LLM's rich domain knowledge, and find the entry point of the business model.
1. Excavate user pain points, explore solutions, and outline product business models
a. User positioning: Identify user pain points, use ChatGPT and Midjourney tools to complete user portrait generation
b. Demand mining: determine the unique value of the product, use ChatGPT to use LLM domain knowledge and carry out demand mining in specific fields
2. Case dismantling: the business model of a local chicken team
3. Micro-roadshow: The team showcases innovative business models
Module 3: [Product Function Planning]
1. Sort out the core functions of the product through the user story map, and plan the product release;
a. Introduce prompt word engineering capabilities, and introduce AI in product function design to assist in completing the closed loop of business scenarios
b. User story map to sort out product requirements
c. Carry out product release planning, plan 3-4 versions
d. Planning the minimum viable product MVP
e. Make paper prototypes
2. Micro-roadshow: The team shows the user story map and paper prototype
Module 4: [Continuous Delivery Pipeline]
1. Enable the development environment and continuous delivery pipeline
2. Set up a physical Kanban board and prepare for execution
3. Use ChatGPT and prompt word toolbox to assist in the development of the MVP version of the product
4. Use GitHub Copilot to complete the auxiliary coding of the product MVP version
5. Complete the online delivery of the first iterative MVP version
Module 5: [Ultimate PK]
1. Each team goes to the stage to release products
2. Demonstrate results
3. Judges scoring
Module 6: [Closed Camp]
1. Awards
2. Acceptance Speech
Top celebrities in the field of DevOps help themselves
AI Dark Horse Challenge
Zhao Mingjie
Zhao Mingjie Microsoft Senior Data & AI Cloud Computing Solution Architect, also an expert lecturer of Microsoft Technology Summit, Microsoft Gold Lecturer, Microsoft Build Conference Technical Chief Coach, Microsoft Tech Ready Expert Lecturer, Microsoft Tech Summit Expert Lecturer, Microsoft SWAT Expert Lecturer, Microsoft Ignite Expert Lecturer, PyCon Expert Lecturer, etc.
Wang Lijie
Wang Lijie, co-founder of IDCF community, PMI-ACP certified lecturer, Scale Agile Certified Consultant (SPC5), former chief agile innovation coach of JD.com, author of "Agile Invincible DevOps Era", "JD Agile Practice Guide", "Agile Development Knowledge System" and other books.
Xu Lei
Xu Lei, Founder and Chief Architect of LEANSOFT, Co-Founder of IDCF Community, Microsoft MVP (Most Valuable Expert) and Technical Director of Community in Greater China, Leader of GitHub Authorized Service Team in China, Authoritative Product Expert of GitHub Copilot.
Participation Benefits
1. The industry's first AI dark horse challenge completion certificate
2. IDCF's exclusive original R&D efficiency (DevOps) talent growth map
3. Pre-class learning toolbox worth 1999 yuan (including four modules: video course system, master sharing series, audio book series and graphic materials series)
4. Join the organization and get acquainted with fellow AI, R&D efficiency, and DevOps! "The best benefit we can provide to everyone is not to eat, drink and have fun, but to choose the best people and let you work with the best people! Excellent team members trump everything! What you learn from them trumps everything!"
5. Be the first to win the first batch of exclusive awards for DevOps Hackathon in China!
team awards
-
Best Dark Horse Team
-
Best Creative Team
-
Best Assembly Line Team
-
Best Dark Horse Spirit Award Team
individual awards
-
best individual speaker
July 22-23, Beijing Station! waiting for you to fight