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AI CERTIFICATION

AI Mastery Certification

Master neural networks, NLP, transformer architectures, LLMs, AI agents, MLOps, and responsible AI. Build comprehensive AI solutions, deploy production models, and become a certified AI professional ready to transform businesses with cutting-edge AI technologies.

10 Weeks
Expert-Led Sessions
Hybrid Learning

Master AI & Transform Your Career

Our AI certification program equips you with practical AI skills for the modern workforce. Master neural networks, NLP, transformer architectures, LLMs, AI agents, MLOps, and responsible AI to become an indispensable AI professional.

Industry-Ready AI Skills for Immediate Impact

Master the most in-demand AI tools and techniques used by leading companies

  • Learn at your own pace with flexible scheduling designed for working professionals.
  • Apply AI skills immediately in your current role while building new career opportunities.
  • Access to premium AI Tools including TensorFlow, PyTorch, Hugging Face, and more.
  • Hands-on projects with real business scenarios and industry use cases.
  • Lifetime access to course materials, AI tools library, and continuous updates.
  • Strategic break weeks to master complex concepts like transformer architectures and MLOps.
Explore Learning Options

Build an Impressive AI Portfolio

Create portfolio projects that demonstrate your expertise in cutting-edge AI applications

  • Build transformer models with attention mechanisms tailored to specific business needs and industries.
  • Create powerful NLP applications with text processing, sentiment analysis, and language understanding.
  • Develop RAG systems that combine LLMs with proprietary knowledge bases.
  • Design autonomous AI agents that handle complex multi-step workflows.
  • Complete 8 comprehensive portfolio projects showcasing neural networks, NLP, transformers, AI agents, and business applications.
View Curriculum

Master the Complete AI Technology Stack

Gain comprehensive expertise in the AI tools and frameworks transforming every industry:

  • NLP & Language Processing: NLTK, spaCy, Hugging Face Transformers for text understanding.
  • Transformer Architectures: Attention mechanisms, BERT, GPT models and fine-tuning techniques.
  • AI Agents & Orchestration: LangChain, AutoGen, CrewAI for building autonomous systems.
  • MLOps & Deployment: Docker, Kubernetes, MLflow for production AI systems.
  • Responsible AI & Ethics: AI Fairness 360, SHAP, LIME for ethical AI development.
  • Business Strategy: Apply AI across industries and drive organizational transformation.
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CURRICULUM

AI MASTERY (AIM™) Curriculum

1

Foundations of Deep Learning & AI

Explore the fundamental concepts of deep learning and artificial intelligence. Learn about neural network architectures, perceptrons, activation functions, and the mathematical foundations that power modern AI systems. Understand how deep learning differs from traditional machine learning and explore the historical developments that led to today's AI revolution.

Technologies

tensorflow
TensorFlow
pytorch
PyTorch
keras
Keras
jupyter
Jupyter
python
Python
numpy
NumPy
matplotlib
Matplotlib

Key Skills

Neural Network FundamentalsDeep Learning ConceptsActivation FunctionsForward and Backward PropagationLoss Functions and OptimizationMathematical Foundations of AIAI Architecture Design

What You'll Achieve

Understand Deep Learning Foundations

Grasp the core principles of deep learning and neural networks that underpin modern AI systems.

2

Introduction to Natural Language Processing (NLP)

Dive into the world of Natural Language Processing, exploring how machines understand, interpret, and generate human language. Learn about text preprocessing, tokenization, word embeddings, sentiment analysis, and foundational NLP models. Understand the core concepts that enable machines to process and analyze textual data effectively.

Technologies

nltk
NLTK
spacy
spaCy
Transformers
huggingface
Hugging Face
tensorflow
TensorFlow
pytorch
PyTorch
jupyter
Jupyter
python
Python

Key Skills

Text Preprocessing and CleaningTokenization TechniquesWord Embeddings (Word2Vec, GloVe)Sentiment AnalysisNamed Entity RecognitionPart-of-Speech TaggingLanguage Modeling Fundamentals

What You'll Achieve

Process Human Language with AI

Implement NLP techniques to analyze and understand textual data for various applications.

3

The Transformer Revolution in AI

Discover the revolutionary transformer architecture that changed the landscape of AI and NLP. Learn about self-attention mechanisms, encoder-decoder architectures, and how transformers process sequences. Understand the innovations that enabled breakthrough models like BERT, GPT, and other state-of-the-art language models.

Technologies

Transformers
huggingface
Hugging Face
pytorch
PyTorch
tensorflow
TensorFlow
jupyter
Jupyter
python
Python
Attention Visualizations

Key Skills

Self-Attention MechanismsTransformer ArchitectureEncoder-Decoder ModelsMulti-Head AttentionPositional EncodingQuery-Key-Value OperationsTransformer Training Techniques

What You'll Achieve

Implement Transformer Models

Apply transformer architectures to solve complex NLP and sequence modeling tasks.

4

Generative AI & Large Language Models (LLMs)

Explore the cutting-edge field of generative AI and large language models. Learn how models like GPT, Claude, and Gemini generate human-like text, understand context, and perform complex reasoning tasks. Master prompt engineering, fine-tuning techniques, and applications of LLMs across various domains.

Technologies

openai
OpenAI API
huggingface
Hugging Face
langchain
LangChain
Transformers
pytorch
PyTorch
tensorflow
TensorFlow
jupyter
Jupyter
python
Python

Key Skills

Prompt EngineeringLLM Fine-TuningContext Window ManagementGenerative Model ApplicationsModel Alignment TechniquesText Generation StrategiesAI Agent Development

What You'll Achieve

Create Generative AI Applications

Develop applications that leverage LLMs for content creation, analysis, and automation.

5

AI Agents & Autonomous Systems

Build autonomous AI systems that can perceive their environment, make decisions, and take actions to achieve specific goals. Learn about agent architectures, planning algorithms, memory systems, and tools integration. Understand how to create AI agents that can interact with APIs, databases, and external systems independently.

Technologies

langchain
LangChain
MCP
AutoGen
crewai
CrewAI
huggingface
Hugging Face
openai
OpenAI API
jupyter
Jupyter
docker
Docker

Key Skills

Agent Architecture DesignMemory Systems ImplementationPlanning and ReasoningTool Usage and IntegrationMulti-Agent CollaborationReactive Decision MakingAPI Interaction Protocols

What You'll Achieve

Deploy Autonomous AI Agents

Create AI systems capable of performing complex tasks with minimal human intervention.

6

Model Deployment & MLops

Master the art and science of deploying machine learning models to production environments. Learn about MLOps practices, containerization, CI/CD pipelines, model monitoring, and scaling strategies. Understand how to maintain and update models in live systems while ensuring reliability and performance.

Technologies

docker
Docker
kubernetes
Kubernetes
MLflow
Kubeflow
fastapi
FastAPI
flask
Flask
aws-sagemaker
AWS SageMaker
azure-ml
Azure ML
google
Google Cloud AI Platform

Key Skills

Model ContainerizationCI/CD Pipeline CreationModel Monitoring and LoggingA/B Testing ImplementationInfrastructure as CodeModel VersioningProduction Environment Management

What You'll Achieve

Deploy Models to Production

Successfully launch and maintain AI models in scalable production environments.

7

Responsible AI,Model Safety & Governance

Navigate the ethical implications of AI development and deployment. Learn about bias detection and mitigation, privacy preservation, transparency, and accountability in AI systems. Understand regulatory compliance, fairness in algorithmic decision-making, and best practices for developing trustworthy AI applications.

Technologies

AI Fairness 360
IBM AI Ethics Toolkit
Google Responsible AI Toolkit
fairlearn
Microsoft Fairlearn
AI Guardrails
Differential Privacy Libraries
Explainable AI (XAI) Tools
shap
SHAP
LIME

Key Skills

Bias Detection and MitigationAlgorithmic FairnessPrivacy-Preserving TechniquesExplainable AI ImplementationAI Risk AssessmentRegulatory ComplianceEthical Framework Development

What You'll Achieve

Develop Ethical AI Systems

Build AI applications that are fair, transparent, and accountable to users and society.

8

AI Capstone Project

Consolidate your AI and machine learning knowledge by undertaking a comprehensive capstone project. Apply the skills and techniques learned throughout the curriculum to solve a real-world problem using AI. From data collection and preprocessing to model development, evaluation, and deployment, demonstrate your ability to deliver end-to-end AI solutions.

Technologies

python
Python
jupyter
Jupyter
scikit-learn
Scikit-learn
tensorflow
TensorFlow
keras
Keras
pytorch
PyTorch

Key Skills

End-to-End ML ProjectData Collection & PreprocessingModel Development & EvaluationDeployment StrategiesProblem-Solving with AIProject Documentation

What You'll Achieve

Deliver Real-World AI Solutions

Showcase your ability to design, implement, and deploy AI models through a comprehensive capstone project.

Flexible AI Learning Designed for Ambitious Professionals

Our structured 10-week program is designed to fit your schedule while providing comprehensive AI education. Choose between part-time evening sessions or intensive weekend tracks.

10 weeks of comprehensive AI mastery training
Hands-on sessions with TensorFlow, PyTorch & Hugging Face
Strategic weeks for deep learning & MLOps mastery

Part-Time Professional Track

Perfect for working professionals and career switchers. Progress through 8 comprehensive units from neural network foundations to responsible AI implementation. Attend live expert-led sessions in the evenings, work on hands-on projects during weekends, and advance your AI skills without interrupting your career.

Example Schedule

Week 1-4

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SUN

Week 5-8

MON
TUE
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SAT
SUN

Week 9-12

MON
TUE
WED
THU
FRI
SAT
SUN

Week 13-16

MON
TUE
WED
THU
FRI
SAT
SUN
Live Sessions (7-10 PM)
Intensive Sessions (9 AM-1 PM)
Project Work & Labs
Self-Study / Rest
Expert Instructors

Learn from the Best

Get mentored by industry professionals with years of real-world experience

Gubli Alhassan

Gubli Alhassan

AI Research Scientist

HackerBoost
Deep LearningNatural Language Processing(NLP)+3

Read full bio

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Choose Your Learning Path

Choose your preferred learning mode and kickstart your journey with us.

Online

Mon-Thu, 7PM-10PM + Weekend Labs
GH₵950
Mon-Thu, 7PM-10PM + Weekend Labs

What's Included:

Live virtual expert sessions
Cloud computing resources with TensorFlow, PyTorch, and Hugging Face included
Flexible evening schedule
Digital resources & recordings
Global community access
Career coaching included

Physical

Mon-Fri, 6PM-10PM
GH₵1150
Mon-Fri, 6PM-10PM

What's Included:

Intensive in-person training
Direct instructor access
On-campus computing resources with TensorFlow, PyTorch, and model deployment tools
Collaborative project spaces
Networking events with AI companies and MLOps practitioners
Dedicated career advisor

Frequently Asked Questions

Everything you need to know about the AI MASTERY (AIM™) program. Get answers to the most common questions from prospective students.

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