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AI/ML training

Go from Python to agentic AI in 32 weeks

Transform your career with our comprehensive AI/ML program. Master Python, data science, machine learning, deep learning, career readiness and agentic AI systems.

Duration
32 weeks
Format
Daily live sessions
Includes
Internship
Outcome
Certificate

Why choose this program

Structured learning, real projects and career support, from the first week to your first role.

  • Daily interactive training

    Live sessions and hands-on practice throughout the program.

  • 100% job assistance

    Career guidance, mock interviews, job alerts, and resume and LinkedIn building.

  • Premium resources

    Curated learning materials, toolkits and guided labs.

  • Internship experience

    Real-world projects with expert guidance and industry exposure.

  • 24/7 support

    Round-the-clock help from our support team whenever you need it.

  • Industry projects

    Real AI/ML projects that build a portfolio that stands out.

  • Certification

    A company-recognised certificate that validates your expertise.

  • Research and innovation

    Explore new ideas and contribute to real AI innovation.

Curriculum

Four technical phases, with career readiness and an internship running alongside the second half.

1

Python mastery

Weeks 1–8
  • Week 1 Environment setup, syntax and data types
  • Week 2 Control structures and logical flow
  • Week 3 Advanced data structures and algorithms
  • Week 4 Functions, modules and error handling
  • Week 5 File operations and data persistence
  • Week 6 Object-oriented programming principles
  • Week 7 Advanced Python features and libraries
  • Week 8 Capstone Python project
2

Data science and machine learning

Weeks 9–16
  • Week 9 The NumPy library
  • Week 10 Data manipulation with pandas
  • Week 11 Data visualisation and statistical analysis
  • Week 12 Web scraping and API integration
  • Weeks 13–14 Machine learning algorithms
  • Week 15 Model building
  • Week 16 End-to-end ML project deployment
3

AI and deep learning

Weeks 17–24
  • Week 17 Neural networks and deep learning foundations
  • Week 18 Computer vision with CNNs and OpenCV
  • Week 19 Natural language processing and transformers
  • Week 20 AI model integration and optimisation
  • Week 21 Performance tuning and model deployment
  • Week 22 AI ethics, bias detection and monitoring
  • Week 23 Production AI systems and MLOps
  • Week 24 Advanced AI project showcase
4

Agentic AI systems

Weeks 25–32
  • Week 25 Autonomous agent architecture and design
  • Week 26 Tool integration and function calling
  • Week 27 Model Context Protocol (MCP) implementation
  • Week 28 Multi-agent systems and coordination
  • Week 29 Advanced agent patterns and behaviours
  • Week 30 Production-ready agent deployment
  • Week 31 Agent ecosystem and API integration
  • Week 32 Final capstone: an autonomous AI system
5

Career readiness and internship

Weeks 17–32
  • Resume crafting, LinkedIn optimisation and job search strategy with experts
  • An internship with real-world application and industry mentorship
  • Research projects that challenge your creativity and technical depth
  • Applied learning, projects and guided skill assessments
  • Mock interviews, coaching and essential soft skills
  • Expert-led preparation for technical and HR rounds
  • Grand project showcase, personalised placement support and an alumni community

15+ tools and technologies

The libraries and platforms used in industry, practised hands-on throughout the program.

  • Python
  • Jupyter
  • NumPy
  • pandas
  • SciPy
  • Matplotlib
  • scikit-learn
  • TensorFlow
  • OpenCV
  • Hugging Face
  • OpenAI
  • LangChain
  • Beautiful Soup
  • Postman
  • Git

Skills you will build

From statistics fundamentals to production MLOps and agentic systems.

  • Python programming
  • Inferential statistics
  • Machine learning
  • Agentic AI
  • Data analysis
  • Generative AI
  • Prompt engineering
  • RAG
  • Artificial intelligence
  • Large language models
  • Supervised learning
  • Unsupervised learning
  • MLOps
  • Data visualisation
  • Conversational AI
  • Ensemble learning
  • EDA
  • Data science
  • Statistical analysis
  • Research methods

Start your AI/ML career.

Ask about the next cohort, schedules and fees. The training team answers every enquiry.

Enrol now
Or email anoop@cygnenoircyber.com
Enrol now