Track
New Collar
Duration
30 hours
Skill Level
Beginner
Language
English
About this Course
Explore AI/ML in real-world industries, along with ethical, societal, and technical implications.
Learning Mode: Learn at ALC or at Home
Detailed Course Curriculum
Hands-on module breakdown aligned with MKCL production standards and industry requirements.
- Understanding AI and its evolution
- Importance of Human-AI interaction
- Benefits of AI integration in various sectors
- Balancing automation and human expertise
- AI as a supportive tool in decision-making
- Fostering trust and understanding between ‘Humans’ and ‘AI’
- Medical diagnostics and imaging
- Drug discovery and development
- Virtual health assistants
- Enhancing fraud detection and risk management
- Automated trading systems and market analysis
- AI-Powered personalized financial advice
- AI-driven market analysis and trends
- Personalization in customer engagement
- AI-powered digital advertising
- Personalized learning platforms
- Ai-driven tutoring and assessment
- Adaptive educational content
- Automation and robotics
- Predictive maintenance
- Quality control and inspection
- Personalized shopping experience with AI recommendations
- AI-driven design and trend prediction
- Supply chain optimization and inventory management
- Precision farming and crop monitoring
- AI-based pest and disease detection
- Smart irrigation and yield prediction
- Content recommendation systems
- AI-generated art and music
- Virtual reality and augmented reality experiences
- Climate Modelling and prediction
- Smart grids and energy management
- Conservation and wildlife monitoring
Eligibility Criteria
• Basic knowledge of computers and keen desire to build skills in this field.
• Open to students, job seekers, and working professionals.
• Open to students, job seekers, and working professionals.
Official Certification
• Official MKCL KLiC Certificate upon successful completion of the course and evaluations.
Work-Centric Learning Approach
• Step 1: Learners are given an overview of the course and its connection to life and work
• Step 2: Learners are exposed to the specific tool(s) used in the course through the various real-life applications of the tool(s).
• Step 3: Learners are acquainted with the careers and the hierarchy of roles they can perform at workplaces after attaining increasing levels of mastery over the tool(s).
• Step 4: Learners are acquainted with the architecture of the tool or tool map so as to appreciate various parts of the tool, their functions, utility and inter-relations.
• Step 5: Learners are exposed to simple application development methodology by using the tool at the beginner’s level.
• Step 6: Learners perform the differential skills related to the use of the tool to improve the given ready-made industry-standard outputs.
• Step 7: Learners are engaged in appreciation of real-life case studies developed by the experts.
• Step 8: Learners are encouraged to proceed from appreciation to imitation of the experts.
• Step 9: After the imitation experience, they are required to improve the expert’s outputs so that they proceed from mere imitation to emulation.
• Step 10: Emulation is taken a level further from working with differential skills towards the visualization and creation of a complete output according to the requirements provided. (Long Assignments)
• Step 11: Understanding the requirements, communicating one’s own thoughts and presenting are important skills required in facing an interview for securing a work order/job. For instilling these skills, learners are presented with various subject-specific technical as well as HR-oriented questions and encouraged to answer them.
• Step 12: Finally, they develop the integral skills involving optimal methods and best practices to produce useful outputs right from scratch, publish them in their ePortfolio and thereby proceed from emulation to self-expression, from self-expression to self-confidence and from self-confidence to self-reliance and self-esteem!
• Step 2: Learners are exposed to the specific tool(s) used in the course through the various real-life applications of the tool(s).
• Step 3: Learners are acquainted with the careers and the hierarchy of roles they can perform at workplaces after attaining increasing levels of mastery over the tool(s).
• Step 4: Learners are acquainted with the architecture of the tool or tool map so as to appreciate various parts of the tool, their functions, utility and inter-relations.
• Step 5: Learners are exposed to simple application development methodology by using the tool at the beginner’s level.
• Step 6: Learners perform the differential skills related to the use of the tool to improve the given ready-made industry-standard outputs.
• Step 7: Learners are engaged in appreciation of real-life case studies developed by the experts.
• Step 8: Learners are encouraged to proceed from appreciation to imitation of the experts.
• Step 9: After the imitation experience, they are required to improve the expert’s outputs so that they proceed from mere imitation to emulation.
• Step 10: Emulation is taken a level further from working with differential skills towards the visualization and creation of a complete output according to the requirements provided. (Long Assignments)
• Step 11: Understanding the requirements, communicating one’s own thoughts and presenting are important skills required in facing an interview for securing a work order/job. For instilling these skills, learners are presented with various subject-specific technical as well as HR-oriented questions and encouraged to answer them.
• Step 12: Finally, they develop the integral skills involving optimal methods and best practices to produce useful outputs right from scratch, publish them in their ePortfolio and thereby proceed from emulation to self-expression, from self-expression to self-confidence and from self-confidence to self-reliance and self-esteem!
Ready to start Advanced Applications and Implications of AI and ML?
Join our upcoming batch at ZICA Kalyani center with certified instructors.
Other MKCL Courses
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AI-ML Basics
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Basics of AI and Foundations
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KLiC AI
30 hours