Course details
OverviewWelcome to the immersive AI Technical Implementation Programme! Over four intensive days, this programme unlocks the practical application of Artificial Intelligence within industrial settings. Explore foundational AI principles, advanced machine learning techniques, and hands-on deployment of cutting-edge models using popular frameworks like TensorFlow and PyTorch. Dive into real-world scenarios, leveraging pre-built services from industry-leading vendors to craft AI solutions. Discover the latest trends shaping the field and gain expertise in implementing AI to drive innovation and tackle challenges across diverse industries. Join us to master AI's practical implementations and propel your skills into the future.
Objective
- Understanding AI Technologies and Frameworks: Gain a comprehensive understanding of AI, Machine Learning (ML), and Deep Learning (DL) concepts, along with proficiency in using popular AI frameworks like TensorFlow, PyTorch, and Scikit-Learn.
- Application of Advanced AI Techniques: Acquire practical knowledge of advanced ML algorithms such as Neural Networks, Transfer Learning, and Natural Language Processing (NLP) to solve real-world problems across various industries.
- Deployment and Optimization Strategies: Learn techniques for deploying AI models in production environments and optimizing these models through strategies like hyperparameter tuning and model pruning for enhanced performance.
- Utilization of AI Services from Vendors: Explore and apply pre-built AI services from leading vendors (AWS, Azure, GCP) for practical implementations in domains like Computer Vision, Speech Recognition, and Recommendation Systems.
- Ethical Considerations in AI: Understand the ethical considerations associated with AI development and deployment, including addressing bias in algorithms, ensuring fairness, and leveraging open-source AI tools/platforms.
- Application of AI in Industry Contexts: Apply AI technologies specifically within industrial contexts, identifying challenges and opportunities across sectors like manufacturing, supply chain, logistics, and predictive maintenance.
- Future Trends and Continuous Learning: Explore emerging trends in AI, such as Explainable AI, AutoML, and AI in Edge Computing, while fostering an understanding of the impact of AI on industries and society. Additionally, access resources for continuous learning and staying updated in the evolving field of AI.
Who Should Attend
This programme on Artificial Intelligence is suitable for a technical audience that includes IT, Project, and Business professionals and those who want to gain a deeper technical understanding of AI, including its subfields, applications, and ethical considerations.
Outlines
DAY 1: Introduction to AI Technical Implementations
- Overview of AI, Machine Learning (ML), and Deep Learning (DL)
- Types of AI: Narrow vs. General AI
- Practical applications and industries benefiting from AI
- Overview of popular AI frameworks: TensorFlow, PyTorch, Scikit-Learn
- Hands-on: Setting up the environment and running basic ML/DL models using TensorFlow or PyTorch
- Case Study: Image Classification using TensorFlow or PyTorch
DAY 2: Advanced AI Techniques and Algorithms
- Deep Dive into Neural Networks: CNNs, RNNs, and their applications
- Transfer Learning and its significance in various industries
- AI vendors and their specialised offerings (, IBM Watson, Google Cloud AI)
- Fundamentals of NLP and its applications (Sentiment Analysis, Named Entity Recognition)
- Hands-on: Text Generation or Sentiment Analysis using NLP tools (NLTK, spaCy)
- Case Study: Implementing NLP for Customer Sentiment Analysis using AWS Comprehend or Google Cloud Natural Language
DAY 3: Deployment, Optimization, and AI Services
- Techniques for deploying models in production environments
- Model optimisation approaches (Hyperparameter tuning, Model pruning)
- AI service providers and their deployment platforms (AWS, Azure, GCP)
- Hands-on: Utilizing pre-built AI services from vendors like AWS Rekognition, Azure Cognitive Services, or Google Cloud Vision API
- Case Study: Implementing a Recommendation System using AI services from AWS or Azure
DAY 4: Ethical AI and Future Trends
- Ethical considerations in AI development and deployment
- Addressing bias in AI algorithms and ensuring fairness
- Open-source AI tools and platforms (TensorFlow Extended, Hugging Face Transformers)
- Emerging trends in AI (Explainable AI, AutoML, AI in Edge Computing)Emerging trends in AI (Explainable AI, AutoML, AI in Edge Computing)
- Discussion on the impact of AI on various industries and society
- Course Conclusion, Q&A, and Resources for Continuous Learning.
Job roles this course is suitable for:
IT professional , Project professional , Business professionalsAbout AiinoX
AiinoX is a leading provider of AI training solutions, offering a comprehensive curriculum designed to cater to a wide range of learners. Our mission is to bridge the AI skills gap by providing accessible, high-quality training that empowers individuals and businesses to:- Understand the core concepts of AI and its applications.
- Develop practical skills in using AI tools and technologies.
- Implement AI solutions to solve real-world business problems.
- Gain a competitive edge in the AI-driven marketplace.
We are committed to delivering exceptional learning experiences through:
- Expert-Led Instruction: Our team of experienced and passionate instructors comes from diverse AI backgrounds, ensuring you receive the latest knowledge and industry insights.
- Interactive Learning: We go beyond theory, incorporating practical exercises, case studies and hands-on learning activities to solidify your understanding.
- Flexible Learning Options: We offer a variety of learning formats, including in-person, online and blended learning, to suit your individual learning style and schedule.
AiinoX offers a comprehensive range of AI training courses designed to cater to all levels of expertise. Whether you are new to AI or a seasoned professional, we have a programme to help you achieve your learning goals.
Headquartered in London and Amsterdam, AiinoX is committed to shaping the future of AI through practical and quality education.
Business Consultation Service
At AiinoX, we provide comprehensive consultation services designed to help your company excel in a competitive market. Whether you are a startup aiming to build a solid foundation or an established enterprise seeking to optimise performance, we are here to assist you.
Our offerings include:
- Strategic Advice: Collaborating with you to map out a path to success, utilising AI and other critical strategies.
- Customised Solutions: Crafting tailored approaches to address your unique challenges and objectives.
- Ongoing Support: Providing continuous support to ensure successful implementation and sustained success.
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