班级人数--热线:4008699035 手机:15921673576( 微信同号) |
增加互动环节,
保障培训效果,坚持小班授课,每个班级的人数限3到5人,超过限定人数,安排到下一期进行学习。 |
授课地点及时间 |
上课地点:【上海】:同济大学(沪西)/新城金郡商务楼(11号线白银路站) 【深圳分部】:电影大厦(地铁一号线大剧院站)/深圳大学成教院 【北京分部】:北京中山学院/福鑫大楼 【南京分部】:金港大厦(和燕路) 【武汉分部】:佳源大厦(高新二路) 【成都分部】:领馆区1号(中和大道) 【广州分部】:广粮大厦 【西安分部】:协同大厦 【沈阳分部】:沈阳理工大学/六宅臻品 【郑州分部】:郑州大学/锦华大厦 【石家庄分部】:河北科技大学/瑞景大厦
开班时间(连续班/晚班/周末班):2024年12月30日 |
课时 |
◆资深工程师授课
☆注重质量
☆边讲边练
☆若学员成绩达到合格及以上水平,将获得免费推荐工作的机会
★查看实验设备详情,请点击此处★ |
质量以及保障 |
☆
1、如有部分内容理解不透或消化不好,可免费在以后培训班中重听;
☆ 2、在课程结束之后,授课老师会留给学员手机和E-mail,免费提供半年的课程技术支持,以便保证培训后的继续消化;
☆3、合格的学员可享受免费推荐就业机会。
☆4、合格学员免费颁发相关工程师等资格证书,提升您的职业资质。 |
☆课程大纲☆ |
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- Introduction to Fintech
- Fintech industry impact
Winners and losers
Sector Overview
- Initial Coin Offerings (ICOs)
Financial advisory
P2P lending
Social credit and financialization of the economy
Industry Case Study
- Where Are You on the Fintech Scale?
- Mapping out A Business Strategy
- Conducting A Readiness Assessment of Your Organization
- Key Technical Innovations Applied to the Finance Sector
- Blockchain, AI, Security
Mapping out A Technology Strategy
- Blockchain: Putting the "Digital Ledger" to Work for Your Organization
- Demystifying the Blockchain.
Lessons from Bitcoin
Implementing a Blockchain strategy
Building the team
Mapping your transactions to the blockchain
AI: Introduction to Artificial Intelligence
- Machine learning, natural language processing (text and speech), computer vision and robotics
Tapping into available resources
Social media APIs
Building a trading bot
Online Security: Security for Finance
- Revisiting traditional definitions of cyber-security
Implementing a compliance plan and training the organization's business leaders
Building the team
Ethical Implications and Privacy
- Chinese, European, and American approaches to privacy
Anti-laundering laws and their implications
Corporate social responsibility in an era of extreme transparency
Bringing It All Together
- No need for "one-size-fits-all" and no need for "all-or-nothing"
A step-by-step approach
Team Communication and Managerial Buy-in
- Conversations with managers and leaders
Conversations with engineers and data scientists
Closing Remarks
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