- Certified Data Science Course in UK
Launch Your Career in Agentic AI
In collaboration with
Turn your ambition into cutting-edge technical expertise. This intensive 4-month program bridges the gap between basic LLMs and enterprise-level autonomous AI. Learn to deploy intelligent, independent agents that solve real-world problems alongside industry-leading mentors, giving you the exact practical skills top tech firms demand.
Master's in Data Analytics in 6 months with expert mentors from leading global companies — get job-ready from day one.
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Master's in Data Analytics in 6 months with expert mentors from leading global companies — get job-ready from day one.
Data is Future's 4 Step Path for your Guaranteed Success
The Agentic AI program offered by Data is Future is developed with insights from industry experts and leading AI practitioners. Data is Future's comprehensive curriculum ensures you gain all the essential skills in building autonomous systems, multi-agent workflows, and advanced LLM integration, along with expert guidance, to help you secure your dream role in AI development, automation engineering, or intelligent systems architecture.
Personal Mentorship from Industry Experts
Gain tailored 1:1 guidance and insider insights from top AI engineers and tech leaders who are actively building autonomous systems.
Industry-Focused Learning
Master the cutting-edge frameworks, LLM integrations, and multi-agent workflows that are currently shaping the future of enterprise automation.
Applied Learning Through Projects
Gain practical experience by building, testing, and deploying your own custom AI agents and autonomous systems to solve real-world business challenges.
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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.
PHASE 1
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
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
- 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-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
PHASE 2
AI-Powered Marketing & Business Operations
Learn to deploy AI for content creation, marketing automation, and business operations to drive efficiency and scale.
AI-Powered Marketing & Business Operations
Learn to deploy AI for content creation, marketing automation, and business operations to drive efficiency and scale.
- 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
- 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
PHASE 3
Advanced Automation & Generative Media Systems
Master advanced automation, voice AI, and generative media workflows using tools adopted by modern organisations.
Advanced Automation & Generative Media Systems
Master advanced automation, voice AI, and generative media workflows using tools adopted by modern organisations.
- 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
- 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
PHASE 4
AI Analytics & Industry Capstone
Apply AI to real business data and complete an industry-aligned capstone project to showcase your skills to employers
AI Analytics & Industry Capstone
Apply AI to real business data and complete an industry-aligned capstone project to showcase your skills to employers
- 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
- 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.
Sora
- Client Feedback
Sarah Johnson
Data Analyst Microsoft UK
“DataIsFuture completely transformed my career. I went from retail to a data analyst job at Microsoft. The hands-on data analytics course and placement guarantee gave me the confidence. The instructors at the best institute for data analytics were incredibly supportive.”
James Wilson
Machine Learning Engineer Google
“The curriculum to learn data science is perfectly aligned with industry needs. I learned everything for my data science career, from Python to advanced ML. The projects prepared me for challenges at Google. Highly recommended.”
Emma Davis
AI Specialist Amazon Web Services
“The Pay After Placement option on their AI courses made it risk-free. Now I’m earning £48k+ at AWS. They helped with interview prep and salary negotiation for my AI career.”
Michael Chen
Senior Data Scientist Barclays Investment Bank
“Coming from finance, the technical transition for my data science career was a concern. DataIsFuture’s mentorship was incredible. The portfolio projects I built directly helped me land my data scientist role at Barclays.”
Priya Patel
Data Analytics Manager Tesco Digital
“The Microsoft collaboration for the data analyst certification was a game-changer. It made me stand out for data analyst jobs in the UK. The career coaching helped me negotiate a manager-level position.”
Sophia Turner
Business Intelligence Analyst Accenture UK
“The hands-on projects and mentorship helped me break into analytics with confidence. The placement support was excellent, and within months I secured a BI Analyst role at Accenture.”
Daniel Roberts
AI Research Associate NVIDIA AI Labs
“I joined with zero experience in artificial intelligence. The curriculum, mentorship, and live projects gave me practical exposure that directly helped me land my AI role.”
Olivia Martin
Data Engineer IBM UK
“The course structure was extremely practical and industry-focused. From SQL and Python to cloud technologies, everything prepared me for real-world data engineering challenges.”
Ethan Walker
Cloud Data Analyst Deloitte UK
“The mentorship and career guidance exceeded my expectations. The real-world case studies and portfolio projects gave me the confidence to transition into a cloud analytics career successfully.”