Instructors at AppClick Technology

Job Description

• The AI & Machine Learning Instructor will be responsible for training students to develop real world AI Solutions, from foundational programming and machine learning concepts to modern generative AI, Agentic AI, Automation, and Development.

Key Responsibilities

• Deliver practical and engaging training sessions in AI & Machine Learning.
• Teach students python programming, including its application to AI and Machine Learning.
• Train students on robotics programming, embedded systems, and automation tools.
• Guide students through hands-on projects, prototypes, and innovation challenges.
• Develop course materials, assignments, and practical learning activities.
• Teach SQL, Data handling, Analysis, and visualization using tools like NumPy and Pandas.
• Deliver lessons on statistics, and mathematical concepts of AI & ML
• Teach fundamentals and advanced concepts in Machine learning, including model development, evaluation, and optimisation.
• Teach Deep learning frame works, and architectures, particularly TensorFlow and Keras.
• Introduce students to Generative AI, Prompt Engineering, and Large Language Models (LLMs)
• Design practical projects, assignamnets, assessments, and projects that reflect real world industry application.
• Support students during hackathons, exhibitions, and project demonstrations
• Stay updated with emerging technologies and industry trends
• Evaluate students’ progress and provide mentorship where necessary

Required Skills & Technical Knowledge

Candidates should possess strong knowledge in some or most of the following areas:

• Artificial Intelligence (AI).
• Machine Learning Algorithms, concepts and workflows.
• Python Programming.
• Deep Learning and frameworks.
• NumPy, Pandas, and Daat Analysis/Visualization Tools.
• SQL and Databases.
• Mathematics and Statistics for Machine Learning and Artificial Intelligence.
• AI application deployment and real world intergration.
• Good experience with Generative AI, Prompt Engineering, LLMs, and AI APIs.
• Knowledge of AI Chatbox development and AI powered automation

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Job Description

• The Virtual Assistant Instructor will be responsible for training students with practical skills to work effectively as Virtual Assistants, secure clients, deliver quality services and build sustainable careers in the remote work and freelancing space.

Key Responsibilities

• Deliver practical and engaging training sessions in Virtual Assistant
• Teach email and calender management
• Train students in documents and data management
• Teach Project Management and workflow tools
• Train students on research, CRM management, project management and workflow tools
• Guide students in choosing VA Specialisations
• Teach student social media management and fundamentals, introduce website management and basic automation
• Teach Service packaging and pricing strategies, train them on client acquisition and freelancing
• Guide students in building professional portfolios
• Keep training content aligned with current industry tools and trends
• Evaluate students’ progress and provide mentorship where necessary
• Support students during hackathons, exhibitions, and project demonstrations

Required Skills & Technical Knowledge

Candidates should possess strong knowledge in some or most of the following areas:

• Virtual Assistance and Remote work practices
• Email and Calendar management
• Document and Data Management
• Project Management and workflow tools
• Online Research and CRM Management
• Cloud storage and collaboration tools
• Website management and basic automation
• Freelancing and client acquisition
• Service packaging, pricing, and client management
• Portfolio development and personal branding
• Excellent communication and organizational skills
• AI Powered productivity and automation tools
• Social Media Management

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Job Description

• The AI & Robotics Instructor will be responsible for training students in Artificial Intelligence, Robotics, Embedded Systems, Automation, and Smart Technologies through hands-on practical sessions and real-world projects.

Key Responsibilities

• Deliver practical and engaging training sessions in AI & Robotics
• Teach students how to build intelligent robotic and automation systems
• Train students on robotics programming, embedded systems, and automation tools
• Guide students through hands-on projects, prototypes, and innovation challenges
• Develop course materials, assignments, and practical learning activities
• Introduce students to AI-powered systems, computer vision, and smart automation
• Support students during hackathons, exhibitions, and project demonstrations
• Stay updated with emerging technologies and industry trends
• Evaluate students’ progress and provide mentorship where necessary

Required Skills & Technical Knowledge

Candidates should possess strong knowledge in some or most of the following areas:

• Artificial Intelligence (AI)
• Robotics Engineering
• Python Programming
• Arduino & Raspberry Pi
• Embedded Systems
• IoT (Internet of Things)
• Robotics Sensors & Actuators
• Automation Systems
• Computer Vision (OpenCV is an advantage)
• Machine Learning Basics
• Electronics & Circuit Design
• C/C++ Programming
• ROS (Robot Operating System) is an added advantage