AI Automation & Virtual Assistants Training Course
This course equips participants with practical, in-demand skills in AI automation and virtual assistance, enabling them to streamline workflows, improve productivity, and build intelligent digital assistants for real-world applications.
Course Overview
| Course Title | AI Automation & Virtual Assistants Training Course |
| Organization | Tech For Development (T4D) |
| Venue | Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi |
| Duration | 10 days |
| Target Industries |
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| Target Job Roles |
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| Course Fees (Face-to-Face) | USD 2,200/KES 150,000 (Exclusive of VAT) |
| Course Fees (Virtual) | |
| Training Modes | Virtual and face-to-face training |
| Payment | Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course |
| Accreditation | Tech For Development Certificate of Course Completion |
This 10-day course trains participants on leveraging AI tools and virtual assistants to automate workflows, enhance productivity, and streamline business operations. Learners will explore AI-powered automation, prompt engineering, task optimization, chatbot development, and integration with everyday business tools.
Duration
10 days
Target Audience
- Aspiring virtual assistants and freelancers
- Business professionals and administrators
- Entrepreneurs and small business owners
- Operations and customer support teams
- Anyone interested in AI and automation
Organizational Impact
- Reduced operational costs through automation
- Improved efficiency in handling repetitive tasks
- Faster communication and workflow execution
- Enhanced data-driven decision-making
Personal Impact
- Practical skills in AI automation and virtual assistance
- Improved productivity and time management
- Career growth in digital and remote work environments
- Enhanced problem-solving and technical skills
Course Modules
Course Objectives
- Understand AI automation and virtual assistant concepts
- Design and implement automated workflows
- Build and manage AI-powered virtual assistants
- Apply prompt engineering for optimal AI performance
- Integrate AI tools into business operations
Module 1: Introduction to AI Automation & Virtual Assistants
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Overview of AI, automation, and digital assistants
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Role of AI in modern workplaces
- Identifying automation opportunities
- Case Study: Automating daily business tasks
Module 2: Prompt Engineering & AI Tools
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Introduction to generative AI tools
- Writing effective prompts for different tasks
- Optimizing and refining AI outputs
- Case Study: Improving productivity with prompt engineering
Module 3: Automating Daily Workflows
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Automating emails, scheduling, and data entry
- Task and workflow automation techniques
- Introduction to no-code/low-code automation tools
- Case Study: Automating administrative operations
Module 4: AI for Content & Communication
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AI for content creation (emails, reports, social media)
- Automating customer communication
- Personalization using AI tools
- Case Study: Scaling content creation using AI
Module 5: Building Virtual Assistants & Chatbots
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Introduction to conversational AI
- Designing chatbot workflows and interactions
- Handling user queries and responses
- Case Study: Developing a customer support chatbot
Module 6: Integration with Business Tools
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Connecting AI with email, documents, and calendars
- Integrating with CRM and productivity platforms
- Automating multi-step workflows
- Case Study: Streamlining operations with integrated systems
Module 7: Data Handling & AI Decision Support
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Using AI for data organization and analysis
- Generating insights and reports
- Supporting decision-making with AI
- Case Study: Data-driven workflow optimization
Module 8: Security, Ethics & Responsible AI Use
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Data privacy and security considerations
- Ethical use of AI in business
- Managing risks in automation
- Case Study: Ensuring safe AI implementation
Module 9: Optimization & Performance Improvement
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Monitoring automation performance
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Improving accuracy and efficiency
- Troubleshooting automation workflows
- Case Study: Optimizing AI systems for better results
Module 10: Implementing AI Automation Strategy
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Planning and deploying AI solutions
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Scaling automation across teams or businesses
- Training users to work with AI systems
- Case Study: Organization-wide AI automation rollout
Course Administration
Methodology
Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.
Accreditation
Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion certified by the National Industrial Training Authority (NITA).
Training Venue
The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
Accommodation & Airport Transfer
Arranged upon request.For reservations contact the Training Officer:
Email: [email protected]
Phone: (+254) 790 824 179
Tailor-Made
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.
Payment
Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to [email protected].
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