This course equips teams with the skills to design, build, evaluate, deploy, and automate AI solutions that are reliable and safe, technically robust, aligned with business objectives, and ready for real-world production environments—not just experimental notebooks.
Discover the strategies, tools, and certifications shaping the future. Trainocate’s TechX Data and AI series offers a curated suite of AI, Data and Machine Learning pathways; to equip professionals with the skills that matter in a digital-first world.
Who Should Enrol
- IT professionals and developers breaking into AI and ML
- Business leaders integrating AI for competitive advantage
- Data and analytics teams driving operational AI adoption
- Cloud strategists and architects aligning architecture to AI and automation
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Data Wrangling & Exploratory Data Analysis with Python
Data wrangling and exploratory data analysis (EDA) are essential steps in any data science or analysis project. This four-day course is designed for beginners and provides a comprehensive foundation in data preparation and exploration using Python. Participants will learn to clean, transform, and gain insights from real-world datasets, making them well-equipped for data-driven decision-making.
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Deep Learning and Natural Language Processing
Deep Learning and Natural Language Processing (NLP) have revolutionized the way we interact with and analyze text data. This four-day course, tailored for beginners, provides a comprehensive introduction to the foundations of deep learning and its application in NLP. Participants will gain a strong understanding of neural networks, language processing, and hands-on experience in building NLP models.
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Over the duration of this course, you’ll:
- Learn about computer vision foundations
- Learn about Artificial Intelligence vs Machine Learning
- Learn about the Computer Vision process
- Dive deep into real-world examples
- Understand how to build a model
- Know how to improve model performance
- Learn the Tapway labeling tools
- Understand how to choose between project types
- Become familiar with the Tapway deployment options
- Get insight into our best practices and tips
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Python for Data Science and Analytics
Python has become the go-to language for data science, and this three-day course is designed to introduce beginners to the world of data analysis, visualization, and machine learning using Python. Participants will gain hands-on experience with Python libraries and tools essential for data science, empowering them to embark on a data-driven journey.
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Data Storytelling
Data storytelling is a critical skill for conveying data-driven insights in a compelling and meaningful way. This three-day course, designed for beginners, focuses on teaching the art and science of data storytelling. Participants will learn how to structure, visualize, and present data to engage and inform their audience effectively.
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Big Data Hadoop
Hadoop is a foundational technology for processing and analyzing massive volumes of data. This three-day course, tailored for beginners, provides a comprehensive introduction to the core concepts of Big Data and Hadoop. Participants will gain an understanding of distributed storage and processing, Hadoop ecosystem components, and hands-on experience with Hadoop tools.
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Machine Learning – Unsupervised Learning
Unsupervised learning is a fascinating field of machine learning that discovers patterns, structures, and relationships within data without the need for labeled examples. This three-day course, designed for beginners, offers a comprehensive introduction to unsupervised learning techniques. Participants will gain a solid understanding of clustering, dimensionality reduction, and anomaly detection.
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This course is to equip senior leaders with the strategic, governance, and organisational capabilities required to design, adopt, and scale AI responsibly and competitively across the enterprise—while managing risk, cost, and long-term value.
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To enable non-technical teams to embed AI directly into daily business workflows, improving productivity, quality, and consistency, while establishing measurable ROI and a foundation for automation and scaling.
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This course is designed to equip employees with a clear and practical understanding of Artificial Intelligence. Participants will learn what AI is—and what it is not—how to use Generative AI safely, responsibly, and effectively, and how to minimise organisational risks associated with AI misuse. The course also focuses on applying AI tools in daily work to drive measurable productivity gains and time savings.
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Marketing is evolving rapidly as customer behaviour, digital channels, and data volumes increase. Artificial Intelligence (AI) is transforming how marketing teams understand customers, create content, optimise campaigns, and measure performance. When used effectively, AI enables marketers to work faster, personalise at scale, and make data-informed decisions—without losing creativity or brand authenticity.
Advances in Generative AI and Large Language Models (LLMs) allow marketers to generate content ideas, draft copy, analyse customer feedback, optimise messaging, and support campaign planning. At the same time, AI adoption raises important questions about originality, ethics, bias, and brand trust.
This course provides a practical, marketing-focused introduction to AI. Participants will learn AI fundamentals, explore how different AI tools support marketing workflows, and gain hands-on experience applying AI to real marketing tasks. The emphasis is on strategic value, creativity, responsible use, and immediate application, without requiring technical or programming skills.
