Artificial Intelligence (AI) Course in Port Harcourt, Uyo & Online – Beginner to Expert

Artificial Intelligence Course in Port Harcourt, Uyo & Online – Beginner to Expert

The Wedigraf Tech Hub Artificial Intelligence (AI) Course is a 6-month, beginner-to-expert AI training programme offered in Port Harcourt, Uyo and online. It takes you from zero coding experience to building, deploying and securing real AI systems — covering Python, machine learning, deep learning, computer vision, natural language processing (NLP), generative AI and large language models (LLMs), prompt engineering, RAG, AI agents, MLOps and responsible AI. You learn by doing, with 40+ hands-on projects, live projects for real organisations, preparation for global AI certifications, a deployed capstone project, portfolio building, LinkedIn optimisation and remote job placement assistance.

Wedigraf Tech Hub is the training arm of Wedigraf Technologies Ltd, a Nigerian technology education and training organisation with hubs in Port Harcourt, Rivers State and Uyo, Akwa Ibom State. Our AI curriculum is aligned with global standards and industry best practice, including official AWS, Microsoft, Google Cloud and NVIDIA certification blueprints, the NIST AI Risk Management Framework, ISO/IEC 42001, the OWASP Top 10 for LLM Applications and Nigeria’s Data Protection Act (NDPA) 2023.

Why Choose the Wedigraf Tech Hub AI Course?

• Complete AI coverage: 21 modules covering every major area of Artificial Intelligence, from classical AI to agentic AI.
• Beginner to expert: no prior coding experience required; you progress step by step to advanced, production-level AI engineering.
• Project-based learning: every module includes lab tasks, a portfolio project and a live project for a real organisation.
• Up-to-date for 2026: generative AI, LLMs, RAG, AI agents, Model Context Protocol (MCP), AI automation and AI security.
• Global certification preparation: dedicated bootcamp for AWS, Microsoft Azure, Google Cloud, NVIDIA and IAPP AI certifications.
• Career-focused: capstone, portfolio, LinkedIn optimisation and 6 months of remote job placement assistance.
• Flexible learning: physical classes in Port Harcourt and Uyo, or live virtual (online) classes from anywhere.
• Experienced instructors and mentors: practical guidance, code reviews and 1-on-1 capstone mentorship.

AI Course at a Glance

What You Will Learn: AI Course Curriculum (21 Modules)

Phase 1 – Foundations (Weeks 1–5)

• Module 1 – Introduction to AI & Classical AI: AI history, sub-fields, search algorithms (A*, Minimax), AI tools and AI literacy.
• Module 2 – Python Programming for AI: Python, OOP, APIs, NumPy, Pandas, Matplotlib, testing and Git/GitHub.
• Module 3 – Mathematics & Statistics for AI: linear algebra, calculus, gradient descent, probability, statistics and A/B testing.
• Module 4 – Data, SQL & Exploratory Data Analysis: SQL, web data collection, data cleaning, labelling, EDA, big data and NDPA 2023 data privacy.

Phase 2 – Machine Learning (Weeks 6–10)

• Module 5 – Supervised Machine Learning: regression, classification, XGBoost, model evaluation, tuning and explainable AI (SHAP).
• Module 6 – Unsupervised Learning & Recommender Systems: clustering, PCA, recommender systems, time-series forecasting and anomaly detection.
• Module 7 – Deep Learning & Neural Networks: PyTorch, TensorFlow/Keras, CNNs, LSTMs and the Transformer architecture.

Phase 3 – AI Specialisations (Weeks 11–16)

• Module 8 – Computer Vision: image classification, YOLO object detection, segmentation and OCR.
• Module 9 – Natural Language Processing (NLP): Transformers, BERT, Hugging Face, sentiment analysis and African-language NLP including Nigerian Pidgin.
• Module 10 – Generative AI, LLMs & Prompt Engineering: how LLMs work, prompt and context engineering, LLM APIs, image generation and local LLMs.
• Module 11 – RAG, Vector Databases & LLM Fine-Tuning: embeddings, vector search, RAG pipelines, evaluation, LoRA and QLoRA fine-tuning.
• Module 12 – AI Agents, MCP & AI Automation: agentic AI, LangGraph, CrewAI, Model Context Protocol, multi-agent systems, n8n and Zapier automation.
• Module 13 – Reinforcement Learning, Speech, Multimodal & Edge AI: Q-learning, PPO, Whisper speech AI, vision-language models and edge deployment.

Phase 4 – Production, Security & Governance (Weeks 17–20)

• Module 14 – MLOps, LLMOps & Cloud AI: FastAPI, Docker, CI/CD, monitoring, AWS SageMaker & Bedrock, Azure AI Foundry, Google Vertex AI.
• Module 15 – AI Security & AI for Cybersecurity: OWASP Top 10 for LLMs, prompt injection, AI red teaming, MITRE ATLAS and AI-powered threat detection.
• Module 16 – Responsible AI, Governance & AI Strategy: bias audits, NIST AI RMF, ISO/IEC 42001, EU AI Act, NDPA 2023, AI product management and AI strategy.

Phase 5 – Certification Preparation (Weeks 21–22)

• Module 17 – Global AI Certification Bootcamp: domain reviews, cloud labs and timed mock exams for your chosen certification track.

Phase 6 – Capstone & Career Launch (Weeks 17–24)

• Module 18 – Capstone Project: design, build, deploy and present an industry-grade AI system at Demo Day.
• Module 19 – Portfolio Building: GitHub, Hugging Face, live demos, case studies and a personal portfolio website.
• Module 20 – LinkedIn Optimisation: recruiter-ready profile, personal branding and a 30-day content plan.
• Module 21 – Remote Job Placement Assistance: ATS-optimised CV, interview preparation, remote job boards, freelancing and employer introductions.

Hands-On Projects & Live Projects

This is not a theory-only AI course. Every module ends with a portfolio project and a live project for a real organisation, so you graduate with genuine client experience. Projects include:

• An AI course-advisor chatbot built with RAG and deployed to production
• A WhatsApp AI agent for customer service and order tracking
• Visual product search and auto-tagging for an e-commerce store using computer vision
• Explainable credit-risk and fraud-detection models for fintech
• A Nigerian Pidgin and English brand-sentiment dashboard using NLP
• An AI-powered phishing and threat detection system
• A voice transcription and lecture-notes generator using speech AI
• An autonomous multi-agent research and reporting system

AI Certification Preparation

A 2-week certification bootcamp prepares you to sit globally recognised AI certifications, with official exam-domain reviews, hands-on cloud labs and timed mock exams:

• Foundation track: AWS Certified AI Practitioner, Microsoft Azure AI Fundamentals, Google Cloud Generative AI Leader.
• Engineer track: Microsoft Azure AI Engineer Associate (AI-102), AWS Certified Machine Learning Engineer – Associate, NVIDIA-Certified Associate: Generative AI LLMs, Google Cloud Professional Machine Learning Engineer.
• Governance track: IAPP Artificial Intelligence Governance Professional (AIGP), ISO/IEC 42001 (optional).

Successful learners also receive the Wedigraf Tech Hub Professional Certificate in Artificial Intelligence, with a verification ID and a digital badge for LinkedIn. (Vendor exam fees are paid to the exam provider.)

Capstone Project, Portfolio, LinkedIn & Remote Job Placement

• Capstone project: build and deploy a complete AI system for oil & gas, fintech, health, agriculture, e-commerce, education, government, or cybersecurity, and present it to industry experts at Demo Day.
• Portfolio building: a professional AI portfolio on GitHub and Hugging Face, live demos and a personal portfolio website.
• LinkedIn optimisation: a keyword-optimised, recruiter-ready LinkedIn profile and a personal-branding plan.
• Remote job placement assistance: ATS-optimised CV, technical and behavioural mock interviews, remote job boards, freelancing guidance, international payment setup and employer introductions, with months of post-graduation support.

Who Should Enrol in This AI Course?

• Complete beginners, school leavers and graduates who want a career in Artificial Intelligence
• Software and web developers moving into AI engineering
• Data analysts and data scientists upgrading to machine learning and generative AI
• IT and cybersecurity professionals adding AI and AI security skills
• Professionals in oil & gas, banking, health, education, and government applying AI at work
• Entrepreneurs and managers who want to build or lead AI products
• Freelancers seeking remote AI jobs with international clients

AI Career Opportunities After the Course

AI Engineer • Machine Learning Engineer • LLM / Generative AI Engineer • Data Scientist • AI Automation Specialist • AI Agent Developer • Computer Vision Engineer • NLP Engineer • MLOps Engineer • AI Product Manager • AI Security Analyst • AI Governance & Compliance Analyst

Tools & Technologies You Will Master

Python, SQL, Jupyter, Google Colab, NumPy, Pandas, scikit-learn, XGBoost, PyTorch, TensorFlow/Keras, Hugging Face, OpenCV, YOLO, spaCy, LangChain, LlamaIndex, LangGraph, CrewAI, Model Context Protocol (MCP), vector databases (Chroma, Qdrant, pgvector), Claude, ChatGPT and Gemini APIs, Ollama, n8n, Zapier, MLflow, Docker, FastAPI, GitHub Actions, AWS SageMaker & Bedrock, Azure AI Foundry, Google Vertex AI, Claude Code, Cursor and GitHub Copilot.

Course Requirements

• A laptop (Intel Core i5 / Ryzen 5 or better, 8 GB RAM minimum, 16 GB recommended, SSD storage)
• Basic computer skills — no programming experience required
• Stable internet connection for virtual learners
• Commitment to attend classes and complete projects

Enroll Now

Choose Your Learning Format

Physical (Onsite) Classes at Our Hub (Office):

• Port Harcourt Office: Wedigraf Tech Hub, 2 Chief Ejims Street, off Old Aba Road, Rumuomasi, Port Harcourt, Rivers State, Nigeria
• Uyo Office: Wedigraf Technologies Ltd, 69 Abak Road, Uyo, Akwa Ibom State, Nigeria.

Or Enroll for Virtual (Online) Classes

Training Duration: 6 Months

Enquiries: WhatsApp/Call 07061773925

Frequently Asked Questions (FAQs)

What is the best artificial intelligence course in Port Harcourt?

The Wedigraf Tech Hub Artificial Intelligence Course is a 6-month, beginner-to-expert AI programme in Port Harcourt (Rumuomasi, off Old Aba Road) that covers machine learning, deep learning, generative AI, AI agents and MLOps, with live projects, global certification preparation and remote job placement assistance.

Do I need coding experience to join this AI course?

No. The course starts at a beginner level and teaches Python and the required mathematics from scratch before moving to machine learning, deep learning, and generative AI.

How long is the AI course?

The Artificial Intelligence course runs for 6 months (24 weeks).

Can I take the AI course online?

Yes. You can choose live virtual (online) classes from anywhere, or physical classes at our Port Harcourt or Uyo offices.

Is there an AI course in Uyo?

Yes. Physical AI classes hold at Wedigraf Technologies Ltd, 69 Abak Road, Uyo, Akwa Ibom State.

Will I get a certificate after the AI training?

Yes. You will receive the Wedigraf Tech Hub Professional Certificate in Artificial Intelligence and be prepared for global certifications from AWS, Microsoft Azure, Google Cloud, NVIDIA, and IAPP.

Does the course cover generative AI, ChatGPT, and AI agents?

Yes. The course covers large language models, prompt engineering, RAG, fine-tuning, AI agents, the Model Context Protocol and AI automation in depth.

Can I get a remote AI job after this course?

The course includes portfolio building, LinkedIn optimisation and 6 months of remote job placement assistance, including CV reviews, mock interviews and employer introductions. Hiring decisions are made by employers.

How much does the AI course cost in Nigeria?

N500,000

How do I enrol?

Click ‘Enroll Now‘ on this page or WhatsApp/call 07061773925 to choose your learning format: Port Harcourt, Uyo or online.