Applied AI & Automation Specialist Program
Master Applied AI & Automation in 4 months with expert mentors from leading global tech companies — get career-ready from day one.
SkillVersed's 4 Step Path for your Guaranteed Success
The Applied AI & Automation Specialist Program by SkillVersed is designed in collaboration with industry experts and AI practitioners. This comprehensive curriculum equips you with in-demand skills in generative AI, automation, and real-world system design, along with hands-on project experience and expert mentorship to help you build production-ready AI solutions and advance your career in AI, automation, consulting, or digital transformation roles.
Career Growth Guarantee
With our guaranteed career support, mentorship, and placement guidance, you’ll have everything you need to start your professional journey in the UK with confidence.
01
Industry-Focused Learning
Master the essential tools, languages, and techniques shaping today’s data-driven workplaces.
03
Personal Mentorship from Industry Experts
Gain tailored 1:1 guidance and insights from top professionals throughout your learning journey.
02
Applied Learning Through Projects
Gain practical experience by working on 50+ guided projects and case studies drawn from real business environments.
04
Learn What Employers Value. Build What They Need.
Our curriculum is shaped by UK industry experts and focused on real skills that matter. From tools to techniques, every lesson prepares you for real opportunities ,So you graduate confident, capable, and career-ready.
AI Foundations & Intelligent Research
Build a solid understanding of modern AI and create practical, no-code research and insight systems used in real business environments
Foundations of Applied AI & Rapid Prototyping
Key Areas of Learning
- Understanding Modern AI Systems: Generative AI vs. Traditional AI
- AI Ecosystem Overview: LLMs, Diffusion Models, API Fundamentals (Pricing Models & Token Usage), and No-Code AI Tools
- Hands-on Exposure: ChatGPT, Claude, Canva AI, and Notion AI
- Workshop: Build and present a first usable AI prototype
- Outcome: Learners can confidently explain AI concepts, understand cost structures (tokens), and rapidly prototype practical AI tools
AI for Research, Knowledge Work & Decision Support
Key Areas of Learning
- AI-Driven Research: Using Perplexity and NotebookLM for grounded source analysis and "chat-with-your-data" workflows
- Summarisation & Insight Generation: Automating reports and market analysis summaries
- AI-Assisted Workflows: Note-taking and transcription automation
- Research-to-Insight Pipelines: Introduction to automation using n8n, Zapier, and Make
- Outcome: Build repeatable AI systems for research and decision-making used in consulting and analytics roles
AI-Powered Marketing & Business Operations
Learn to deploy AI for content creation, marketing automation, and business operations to drive efficiency and scale.
AI for Marketing Operations & Content Systems
Key Areas of Learning
- Content Systems: AI-powered content planning, copywriting, and campaign structuring
- Visual Assets: Presentation and pitch deck creation using AI tools
- Video Generation: AI video creation (e.g., Runway, Sora pipelines) for marketing assets
- Mini-Project: Design an end-to-end AI-powered marketing workflow
- Outcome: Learners can deploy scalable AI content systems rather than just creating one-off assets
AI for Business Operations & Customer Experience
Key Areas of Learning
- Customer Experience: Designing GPT-powered customer support and internal assistants
- Operational Use Cases: AI in e-commerce, services, and SME operations
- Workflow Automation: Connecting emails, CRMs, and internal tools
- Project: Build a functional AI business assistant prototype
- Outcome: Ability to design AI solutions that improve operational efficiency and customer experience
Advanced Automation & Generative Media Systems
Master advanced automation, voice AI, and generative media workflows using tools adopted by modern organisations.
Advanced No-Code Systems & Technical Fundamentals
Key Areas of Learning
- Voice AI: Design and deployment of AI voice agents for inbound/outbound calls
- Technical Deep Dive: Understanding JSON data structures and API Keys
- Advanced Automation with n8n: Building complex, branching workflows, handling webhooks, and custom API integrations
- Project: Deploy an end-to-end AI automation system using n8n or a Voice Agent
- Outcome: Learners bridge the gap between "no-code" and "low-code," deploying production-ready systems that handle real data
Generative AI for Media, Communication & Digital Assets
Key Areas of Learning
- Advanced Imagery: Image generation using advanced diffusion models (Midjourney, Flux, etc.)
- Video Production: Video creation and editing using generative AI platforms
- Multimedia Pipelines: Integrated audio, voice, and visual content workflows
- Mini-Project: Create an AI-generated video, podcast, or media asset
- Outcome: Ability to build AI-powered media assets for high-end marketing, training, and communication
AI Analytics & Industry Capstone
Apply AI to real business data and complete an industry-aligned capstone project to showcase your skills to employers
AI-Assisted Data Analysis & Business Intelligences
Key Areas of Learning
- Conversational Analytics: Prompt-based data analysis using AI assistants
- Data Operations: Working with spreadsheets and cleaning datasets using AI
- Visualization: Automated dashboard creation and insight generation
- Project: Build an AI-powered dashboard and insights report
- Outcome: Learners can use AI to analyze raw data and present executive-ready insights
Capstone - Applied AI Solution for Industry
Key Areas of Learning
- Industry Application: Use cases across healthcare, finance, marketing, HR, and education
- System Design: Problem selection, solution design, and system architecture
- Development: Capstone project development (individual or team-based)
- Demo Day: Final presentation with feedback
- Outcome: Graduates leave with a portfolio-ready applied AI solution suitable for LinkedIn and professional showcasing
Tools & Technologies Covered
Explore the wide range of tools and technologies you'll master throughout our programs.
What Our Students Say
Hear from our students about their learning experiences and successes.
The programme gave me a strong foundation in applied AI and automation, with practical examples that reflected real business use cases.
Mia Roberts
AI Automation Analyst, LondonI found the coverage of machine learning, generative AI, and workflow automation very clear and professionally structured.
Nathaniel Quinn
Automation Engineer, ManchesterThe hands-on projects helped me understand how to deploy AI models and automate end-to-end business processes.
Neil Sharma
Applied AI Specialist, BirminghamThe explanations of APIs, AI pipelines, and automation frameworks were easy to follow and very relevant to industry needs.
Oliver Bennett
AI Systems Analyst, LeedsThe course helped me build a structured approach to designing intelligent automation solutions for organisations.
Olivia Bailey
Process Automation Consultant, BristolThe modules on generative AI and workflow orchestration were particularly well explained and practically oriented.
Ritesh Menon
AI Workflow Architect, CambridgeThe programme gave me clear insight into how intelligent automation is transforming business operations across industries.
Simran Shah
Automation Product Manager, ReadingThe balance of AI fundamentals and real-world automation use cases made the learning experience both practical and engaging.
