Welcome to "Building Apps with AI Assistants," an immersive and transformative course offered by Skilltable, designed for aspiring developers, tech enthusiasts, and professionals eager to pioneer the next generation of intelligent applications. This comprehensive program equips you with the skills to seamlessly integrate AI assistants into app development, enabling you to create innovative, responsive, and user-centric solutions that meet the demands of today’s tech-driven world.
In this course, you’ll dive into the cutting-edge intersection of artificial intelligence and app development, exploring industry-standard tools and frameworks
Delivered by Skilltable’s team of experienced instructors and industry practitioners, this course combines theoretical insights with hands-on expertise, ensuring you gain both the technical proficiency and creative confidence to shape the future of app development. Whether you’re a beginner looking to break into tech or a seasoned developer aiming to upskill, "Building Apps with AI Assistants" will empower you to unlock new possibilities and lead in the era of intelligent technology.
Join us at Skilltable to embark on this exciting journey and redefine what’s possible with AI-driven app development
Course Curriculum
Course Curriculum: Building Apps with AI Assistants
Course Overview
“Building Apps with AI Assistants” by Skill Table is a 12-week, project-based course designed to equip learners with the skills to develop intelligent, user-centric applications using AI technologies. The curriculum blends theoretical foundations with hands-on practice, focusing on AI integration, app development frameworks, and ethical considerations. Learners will build a portfolio of AI-driven apps, preparing them for real-world tech challenges.
Course Structure
- Duration: 12 weeks
- Format: Online, with video lectures, coding labs, quizzes, and capstone projects
- Prerequisites: Basic programming knowledge (Python or JavaScript recommended)
- Target Audience: Aspiring developers, tech enthusiasts, and professionals seeking AI and app development skills
Weekly Curriculum
Week 1: Introduction to AI-Driven App Development
- Overview of AI in modern applications
- Role of AI assistants (chatbots, voice assistants, recommendation systems)
- Tools and platforms: Python, JavaScript, AI APIs (OpenAI, Google Dialogflow)
- Setting up development environments
- Assignment: Install tools and create a simple “Hello World” app
Week 2: Fundamentals of App Development
- Introduction to app frameworks: React Native, Flutter, Node.js
- Building responsive UI for web and mobile
- Basics of API integration and RESTful services
- Lab: Create a basic app interface with user input
- Quiz: App development concepts
Week 3: Understanding AI Assistants
- Types of AI assistants: rule-based vs. machine learning-based
- Natural Language Processing (NLP) basics
- Overview of AI APIs: OpenAI, Hugging Face, Google Cloud AI
- Lab: Connect an app to a basic chatbot API
- Assignment: Design a simple conversational flow
Week 4: Building Conversational AI
- Designing dialogue systems with Dialogflow
- Training AI models for intent recognition and entity extraction
- Handling context and multi-turn conversations
- Lab: Build a customer support chatbot
- Assignment: Enhance chatbot with custom intents
Week 5: Voice-Enabled Assistants
- Introduction to voice recognition and synthesis
- Using APIs like Amazon Alexa Skills Kit or Google Speech-to-Text
- Integrating voice interfaces into apps
- Lab: Add voice input to an existing app
- Assignment: Create a voice-activated task manager
Week 6: AI for Personalization
- Machine learning basics: supervised vs. unsupervised learning
- Recommendation systems and user behavior analysis
- Using TensorFlow or PyTorch for simple predictive models
- Lab: Build a personalized content recommender
- Quiz: Machine learning concepts
Week 7: Cross-Platform App Development
- Deep dive into React Native and Flutter for mobile apps
- Optimizing apps for iOS and Android
- Handling platform-specific AI integrations
- Lab: Develop a cross-platform AI-enhanced app
- Assignment: Deploy app to a mobile emulator
Week 8: Cloud-Based AI Integration
- Leveraging cloud services: AWS, Google Cloud, Azure AI
- Scalability and performance optimization
- Managing API costs and rate limits
- Lab: Deploy an AI-driven app to the cloud
- Assignment: Optimize app for low-latency AI responses
Week 9: Ethical AI and User Privacy
- Understanding bias in AI models
- Data privacy regulations (GDPR, CCPA)
- Designing transparent and ethical AI systems
- Case studies: Ethical dilemmas in AI apps
- Assignment: Write a report on ethical AI implementation
Week 10: Advanced AI Features
- Integrating computer vision (e.g., image recognition with TensorFlow)
- Real-time data processing and analytics
- Exploring generative AI for content creation
- Lab: Add image recognition to an app
- Assignment: Build an app with generative AI features
Week 11: Capstone Project Development
- Plan and design a full AI-driven application
- Combine NLP, voice, or personalization features
- Focus on UI/UX, scalability, and ethical design
- Lab: Develop and test capstone project
- Peer review: Share and critique project plans
Week 12: Deployment and Portfolio Building
- Deploying apps to production environments
- Testing and debugging AI integrations
- Building a professional portfolio with project showcases
- Lab: Finalize and deploy capstone project
- Final Presentation: Showcase app to instructors and peers
Learning Outcomes
- Build and deploy AI-driven apps for web and mobile platforms
- Integrate conversational and voice-based AI assistants
- Apply machine learning for personalization and analytics
- Understand and address ethical considerations in AI development
- Create a portfolio of functional, industry-relevant projects
Assessment
- Weekly quizzes (20%)
- Coding labs and assignments (40%)
- Capstone project and presentation (30%)
- Participation and peer reviews (10%)
Resources
- Access to Skill Table’s learning platform
- Community forums and live Q&A sessions
- Code repositories and sample projects
Join Skill Table to master the art of building AI-powered applications and shape the future of technology!
About the instructor
One Time
₦150,000.00
3 months of access
