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• The All India Council for Technical Education's special "DigitalSkilling" webpage. Check out the many courses and
                 internships available on this website. https://1crore.aicte-india.org/

                 • Nowadays, B.Tech programs in AI and ML, Data Science, Robotics, and Computer Science with specialisations are
                 offered by the majority of India's best universities. Learn more about these courses, students can go to the websites
                 of the colleges. A B.Sc in AI and ML is also offered by several universities.


                               Task                                                        #Experiential Learning



                   Explore and write two AI roles, for which these companies are hiring.

                   1.  Nvidia       _________________________        _________________________
                   2.  Salesforce   _________________________        _________________________
                   3.  Amazon       _________________________        _________________________
                   4.  Microsoft    _________________________        _________________________




                        At a Glance


                    •  AI powers smartphones, self-driving cars, and virtual assistants, revolutionising industries and daily life.
                    •  AI offers diverse career paths, including engineering and ethics, across sectors like healthcare, finance, and retail.
                    •  AI has integrated into our daily routines, with career opportunities in machine learning, data analysis, and
                     autonomous vehicles.
                    •  AI is sought after in financial services, healthcare, technology, media, marketing, retail, government, military,
                     IoT, agriculture, gaming, and weather forecasting.
                    •  Common AI job roles include AI Engineer, Data Scientist, AI Ethicist, Machine Learning Engineer, Robotics
                     Engineer, and NLP Specialist.
                    •  Key  technical  skills  required  for  a  career  in  AI  include  programming  languages  (Python,  R,  Java,  C++),
                     frameworks (TensorFlow, SciPy, Numpy), neural networks, machine learning, deep learning, shell scripting,
                     cluster analysis, Tableau, and Microsoft Power BI.
                    •  Important soft skills required for a career in AI are communication, teamwork, problem-solving, decision-
                     making, analytical thinking, time management, business intelligence, and critical thinking.
                    •  Curiosity, creativity, adaptability, and effective communication are important traits for success in AI.
                    •  AI specialists work in fields like automotive, agriculture, retail, media, IT, healthcare, finance, government,
                     tourism, beauty, banking, geospatial, textile, design, sales and marketing, telecommunication, E-commerce,
                     and fashion.

                    •  Tools like Soundraw.io can generate music, highlighting the need for programming and AI skills to create
                     such platforms.
                    •  AI-related  jobs  like  data  scientist  and  machine  learning  engineer  rank  high  in  job  satisfaction,  earning
                     potential, and opportunities.
                    •  Mastery of tools like TensorFlow and Python is essential for AI development.
                    •  AI Ethicists ensure the responsible and ethical development of AI technologies.
                    •  AI enhances predictive analytics, surveillance, and citizen services in government and military applications.
                    •  AI is used for drug discovery, medical imaging analysis, and personalised medical care.
                    •  The evolving AI field continually creates new job roles and specialisation opportunities, driving growth and
                     innovation across industries.
                    •  The integration of AI into everyday activities has increased demand for professionals skilled in areas like
                     machine learning, data analysis, and autonomous vehicles.

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