ai ml
- 1. Career in Artificial Intelligence and Machine Learning (AI & ML )
- 2. Conten ts Introduction to AI & ML 01 Career in AI & ML 02 Start ups to drive growth of AI & ML 03 Skills for success in AI & ML 04 Conclusions 05
- 3. Introduction to AI • AI is a branch of Science and assist machines to find solutions to complex problems in a more human-like fashion. • Artificial Intelligence is the future of Next Generation Technology. • It encompasses variety of disciplines like Medical, Finance, Engineering.
- 4. Artificial Intelligence and Machine Learning AI is trained final output machine which mimic like human brain Ex: Amazon Alexa ML is a subset of AI. It is a technique to achieve AI. Ex: Spam Detection Artificial Intelligence Machine Learning
- 5. Artificial Intelligence and Machine Learning in Industry 4.0 Breakdowns of industrial development and the great changes in related categories Mechanization, stream and water power Electronic and IT systems, Automation Artificial intelligence Mass production and Electricity Industry 1.0 Industry 2.0 Industry 3.0 Industry 4.0 1760-1830 1870-1914 1970-2000 2015 -2050?
- 6. Applications of AI & ML 1. Automated Customer Support • Online shopping experience has been greatly enhanced by chatbots because of the following reasons: • They increase user retention by sending reminders and notifications • They offer instant answers compared to human assistants, thus reducing response time • Chatbots provide upselling opportunities through personalized approach
- 7. 2. Personalized Shopping Experience • Implementation of artificial intelligence makes it possible for online stores to use the smallest piece of data about every followed link or hover to personalize your experience on a deeper level. • This personalization results into timely alerts, messages, visuals that should be particularly interesting to you, and dynamic content that modifies according to users’ demand and supply.
- 8. 3. Healthcare • AI-enabled workflow assistants are aiding doctors free up their schedules, reducing time and cost by streamlining processes and opening up new avenues for the industry. • In addition, AI-powered technology helps pathologists in analyzing tissue samples and thus, in turn, making more accurate diagnosis.
- 9. 4. Finance • Automated advisors powered by AI, are capable of predicting the best portfolio or stock based on preferences by scanning the market data. • Actionable reports based on relevant financial data is also being generated by scanning millions of key data points, thus saving analysts numerous hours of work.
- 10. 5. Smart Cars and Drones • With autonomous vehicles running on the roads and autonomous drones delivering the shipments, a significant amount of transportation and service related issues can be resolved faster and more effectively.
- 11. 6. Travel and Navigation • With AI-enabled mapping, it scans road information and utilizes algorithms to identify the optimal route to take, be it in a bike, car, bus, train, or on foot.
- 12. 7. Social media • Face book uses advanced machine learning to do everything from serving content to you and to recognize your face in photos to target users with advertising. • Instagram (owned by Facebook) uses AI to identify visuals. • LinkedIn uses AI to offer job recommendations, suggest people you might like to connect with, and serving you specific posts in your feed.
- 13. 8. Smart Home Devices • The connected devices of smart homes provide the data and the AI learns from that data to perform certain tasks without human intervention.
- 14. 9. Creative Arts • AI-powered technologies can help musicians create new themes.
- 15. 10. Security and Surveillance • AI is making possible for humans to constantly monitor multiple channels with feeds coming in from a huge number of cameras at the same time.
- 16. YouTube Link : https://www.youtube.com/watch?v=WATLfjRHySU Sophia introduced herself and spoke to the students appearing for their exams. India welcomes Robot Sophia for the first-ever interactive session in Kolkata Sophia is a first AI humanoid robot developed by Hong Kong-based company Hanson Robotics
- 17. II. Career in AI & ML • There is a scope in developing the machines in game playing, Speech recognition, language detection machine, computer vision, expert systems, robotics, and many more • As per International Data Corporation (IDC) Worldwide AI Guide, spending on AI systems will accelerate over the next several years as organizations deploy AI as part of their digital transformation efforts & to remain competitive in the digital economy • Global spending on AI is forecast to double over the next 4 years, $50.1 billion in 2020 to more than $110 billion in 2024.
- 18. Hospital and Medicine Game Playing Speech Recognition Understanding Natural Language Computer Vision Avenues Cyber Security Face Recognition Transport Marketing & Advertising
- 19. • AI covers many areas like medical diagnosis, stock trading, robot control, scientific discovery. • If you have the B.E / M. Tech degree in AI and ML, you have the job opportunities in ISRO. • You also have option to go in various top level microchip manufacturer companies like Intel. • Indian institute of Biology offers research in AI and robotics • Some AI job includes machine learning engineer, data scientist, business intelligence developer, research Scientists, and AI engineer. • Intel offers job for AI and Robotics specialist. • NASA is the best place to get job in AI in space science. • US tech companies are prepared to spend over $1 billion by 2020 in the process of poaching AI talent from wherever they can get it. • UK’s demand for AI skills has been growing much faster than that in the US, Canada and Australia. Avenues India Abroad
- 20. World’s biggest companies heavily relying on AI & M
- 22. III. AI & ML to drive growth of Start ups . • Startups ecosystem, has been nourished with the advent of technology, and has given rise to more evolved business processes. • These days Logistics, accounts, marketing and team performance & HR have all been supported by AI technology. • With the rising technologies like AI, IoT and ML, its interesting to watch the changing face of Indian SMEs and startups.
- 23. IV. Skills for success in AI & ML • Working with AI requires an analytical thought process and the ability to solve problems with cost effective and efficient solutions. • Professionals need technical skills to design, maintain and repair technology and software programs. • Those interested in becoming AI professionals need a education qualification based on foundations of maths, technology, logic and engineering prospective. • Cognitive Science skills.
- 24. Draft Scheme of Syllabus (2020-21) 1st Semester • Engineering Mathematics – I • Engineering Physics • Elements of Mechanical Engineering • Basic Electrical Engineering • Programming with C • Constitution of India • Engineering Physics Laboratory • C Programming Laboratory 2nd Semester • Engineering Mathematics – II • Engineering Chemistry • Basic Electronics • Engineering Mechanics • Environmental Studies • Computer Aided Engineering Graphics • Engineering Chemistry Laboratory • Basic Engineering Laboratory • English for Engineers 3rd Semester • Computational Methods in Computer Science • Data Structures and Applications • Digital Electronics and Microcontroller • Computer Organization • Discrete Mathematical Structures • Introduction to Drones and its Applications • Digital Electronics and Microcontroller Laboratory • Data Structures Laboratory • OOPS with Java Laboratory • Environmental Studies • Bridge Course Maths –I 4th Semester • Statistics and Probability Theory • Design and Analysis of Algorithms • Operating Systems • Introduction to AI and ML • Software Engineering Approach using Agile Technology • Computer Networks • Design and Analysis of Algorithms Laboratory • Project Based Learning • Fundamentals of Quantitative Aptitude and Soft Skills • Bridge Course Maths –II • Constitution of India • Vyavaharika Kannada (Kannada for communication) /Aadalitha Kannada (Kannada for Administration)
- 25. Draft Scheme of Syllabus (2020-21) 5th Semester • Management and Entrepreneurship for IT Industry • Automata Languages and Artificial Intelligence • Professional Elective - I • Machine Learning with Python • Open Elective - I • Database Management Systems • AI and Machine Learning with Python Laboratory • Database Laboratory • Fundamentals of Quantitative Aptitude and Soft Skills 6th Semester Professional Elective-I 1. Introduction to Data Science 2. Statistical Inference / Stochastic Processes 3. Principles of Cryptography Open Elective-I 1. Data Science 2. Machine Learning using Python 3. Embedded Programmimg • Advanced AI and ML techniques • Startup and IPR • Web Applications using Machine Learning Techniques • Professional Elective –II • Open Elective – II • Natural Language and Image Processing Laboratory • Web Applications Laboratory • Mini Project Professional Elective-II Open Elective-II 1. Andriod Application Development 2. Data Mining and Predictive Modeling 3. Digital Image Processing 1. Applications of AI in Industry 2. Software Testing Quality Assurance 3. Internet of Things (IoT)
- 26. 7th Semester • Robotic Process Automation • Internet of Things with Machine Learning • Professional Elective – III • Professional Elective – IV • Professional Elective – V • Open Elective – III • Robotics Automation Laboratory • Internet of Things Laboratory • Project Phase – I • Internship Professional Elective-V Professional Elective-III 1. Image Processing using Python 2. Applications of MATLAB Professional Elective-IV 1. Reinforcement Learning 2. Cloud Computing 3. Robot Kinematics and Dynamics 1. Neural Networks and Deep Learning 2. Cognitive Analysis 3. Bio Informatics Open Elective-III 1. Research Paper Writing 2. Advanced Embedded Programming 3. AI Speech Processing 8th Semester • Professional Elective – VI • Professional Elective – VII • Project Phase – II • Seminar • Moocs /Swayam (Online Course) Professional Elective-VI 1. Randomized Algorithms 2. Applied Time Series Analysis 3. AI in Healthcare 4. Algorithm for Intelligent Systems and Robotics Professional Elective-VII 1. Natural Language Processing 2. Big Data Analysis 3. Cybercrime Forensics and Digital Forensics
- 27. V. Conclusions • As an Artificial Intelligence aspirant, you have ample of job opportunities in this field. • Artificial intelligence will transform the global economy, and AI jobs are in high demand. • According to International Data Corporation (IDC), the number of AI jobs is expected to globally grow 16 percent this year. • AI careers are future-proof, meaning they are likely to survive well into the future. • Getting an education in AI is challenging and requires persistence and personal initiative.
- 28. THANK YOU