Aegis School of Business, Data Science, Cyber Security & Telecommunication

Aegis School of Business, Data Science, Cyber Security & Telecommunication

Start date: Jul 10, 2021
End date: Jul 10, 2021
Type: Meetup
Event location: Online Live
Register Now

How to become a Data Scientist & AI Engineer

According to the IDC analysis, Artificial Intelligence Technology has come into the business mainstream because it allows organizations to process an increasingly large amount of data in a feasible time. The prediction shows that the worldwide data will grow 61% to 175 zettabytes by 2025.

The good news is that, this will eventually yeild more no of openings for  Data Scientists & AI Engineers.

  • 👉🏻 Are you future ready or wanted to be to grab these opportunities?
  • 👉🏻 Do you want to start your career as "Data Scientist" or "AI Engineer", but don't know how?

Join Live Interactive meet-up on  "How to become a Data Scientist & AI Engineer" and get the complete roadmap and guidance from Mr. Bhupesh Daheria, CEO- Aegis School Of Data Science & Cyber Security | EdTech Futurist | Education Reform Leader with more than two decades of experience in Higher Education, EduTech, entrepreneurship, innovation, skilling, Data Science, AI & Telecom


💡 Some more snippets: 

  • "Data Scientist is the sexiest job of 21st century"HBR
  • "By 2022, Data Scientists & Data Analysts will become the number one emerging role in the world"- The World Economic Forum 
  •  "80% of emerging technologies will have foundations in AI by end of 2021" Gartner
  •  AI will create more jobs than it destroys—by 2022, this opening up a huge demand for AI talent pool. - Financial Express
  •  Since the pandemic “The Future of Jobs Report 2020,” 50% of businesses say Covid-19 has pushed them to accelerate automation in their organisationsWorld Economic Forum
  •  9 million low-skilled IT services and BPO roles, 30 per cent or around 3 million will be lost by 2022, principally driven by the impact of Robot Process Automation (RPA). - Nasscom
  •  0.7 million roles are expected to be replaced by RPA - Bank of America  
     

📜  Agenda:

🔎 Know different dimensions of Data Science, AI, ML, DL and its scope. How all this started?
🔎 Where is future heading: technologies, job, skills?
🔎 Can a person with no technical or coding background i.e Civil, Mechanical, Electrical, Commerce, Economics etc shift into Data Science or AI?
🔎 Can any experienced individual make a career transition or switch into Data Science and AI? How?
🔎 Is age a barrier to Data Science Career? Scope for those who have spent a good time into industries running in 35+ or in early 40s or 40+ age bracket?
🔎 What skills and competencies required in the market to become a data scientist or AI Engineer?
🔎 Take away for the Data Science Career Aspirants, how to start your journey into Data Science, AI & Analytics, AI, Big Data, Business Analytics, Predictive Analytics, Marketing Analytics, Financial Analytics, Operations Analytics.? 
🔎 Q & A

🎯  Who should attend?

👉🏻 Those who are Data Science, Analytics, AI, ML, Deep Learning Enthusiasts, Career Aspirants and Practitioners. 
👉🏻 Those want to know, How Data Science, AI and Analytics Techniques are being used to solve Real-Life problems?"
👉🏻 Those who wanted to make a career transition into Data Science, Analytics & AI

🗓️ Venue & Date:

  Date: 10th July 2021  (4:00PM to 5:30PM) 
  Day: Saturday
  Venue: Online Live over ZOOM - A link would be sent to the registered participants.