The AI+ Engineer program is designed for technical leaders to build and manage high-performing AI teams within their organizations. In this program, participants will gain a deep understanding of core AI concepts and practical engineering skills through lectures, case studies, and simulations. Participants will also learn about foundational AI principles, advanced techniques, AI architecture, infrastructure, hands-on development, and ethical considerations. Purchase our self-paced online course, or Request a Quote for your team. Course Overview The AI+ Engineer certification is specifically designed for Software Engineers, providing a structured introduction to Artificial Intelligence (AI) fundamentals, advanced techniques, and practical applications. Learners will start with AI Foundations and then explore AI Architecture, Neural Networks, LLMs, Generative AI, Natural Language Processing (NLP), and Transfer Learning using Hugging Face. You will also learn to design advanced Graphical User Interfaces (GUIs) for AI solutions and understand AI communication and deployment pipelines through hands-on learning. Ethics in AI are also discussed to ensure learners comprehend justice, transparency, and accountability in AI systems. Practical exercises and real-world case studies help you analyze and reduce biases,improving AI application ethics. Furthermore, in this certification, you will grasp AI principles and techniques well enough to solve real-world problems and contribute to the ever-changing field. This holistic strategy equips engineers to lead and innovate in the fast-changing AI field. Why AI+ Engineer Master AI System Design: Develop the skills to design, implement, and optimize advanced AI systems for real-world applications. Build Scalable AI Solutions: Learn how to create scalable AI solutions for industries like technology, finance, and healthcare. Tackle Complex Engineering Challenges: This certification ensures you’re equipped to solve challenges in AI architecture, neural networks, and NLP. Contribute to AI-Driven Innovations: Certified AI+ Engineers develop cutting-edge AI solutions that enhance business operations and drive future innovations. Advance Your Career in AI Engineering: As demand for skilled AI engineers rises, this certification offers a competitive advantage in the job market. Course Modules Module 1: Foundations of Artificial Intelligence (AI) 1.1 Introduction to AI 1.2 Core Concepts and Techniques in AI 1.3 Ethical Considerations Module 2: Introduction to AI Architecture 2.1 Overview of AI and its Various Applications 2.2 Introduction to AI Architecture 2.3 Understanding the AI Development Lifecycle 2.4 Hands-on: Setting up a Basic AI Environment Module 3: Fundamentals of Neural Networks 3.1 Basics of Neural Networks 3.2 Activation Functions and Their Role 3.3 Backpropagation and Optimization Algorithms 3.4 Hands-on: Building a Simple Neural Network Using a Deep Learning Framework Module 4: Applications of Neural Networks 4.1 Introduction to Neural Networks in Image Processing 4.2 Neural Networks for Sequential Data 4.3 Practical Implementation of Neural Networks Module 5: Significance of Large Language Models (LLM) 5.1 Exploring Large Language Models 5.2 Popular Large Language Models 5.3 Practical Finetuning of Language Models 5.4 Hands-on: Practical Finetuning for Text Classification Module 6: Application of Generative AI 6.1 Introduction to Generative Adversarial Networks (GANs) 6.2 Applications of Variational Autoencoders (VAEs) 6.3 Generating Realistic Data Using Generative Models 6.4 Hands-on: Implementing Generative Models for Image Synthesis Module 7: Natural Language Processing 7.1 NLP in Real-world Scenarios 7.2 Attention Mechanisms and Practical Use of Transformers 7.3 In-depth Understanding of BERT for Practical NLP Tasks 7.4 Hands-on: Building Practical NLP Pipelines with Pretrained Models Module 8: Transfer Learning with Hugging Face 8.1 Overview of Transfer Learning in AI 8.2 Transfer Learning Strategies and Techniques 8.3 Hands-on: Implementing Transfer Learning with Hugging Face Models for Various Tasks Module 9: Crafting Sophisticated GUIs for AI Solutions 9.1 Overview of GUI-based AI Applications 9.2 Web-based Framework 9.3 Desktop Application Framework Module 10: AI Communication and Deployment Pipeline 10.1 Communicating AI Results Effectively to Non-Technical Stakeholders 10.2 Building a Deployment Pipeline for AI Models 10.3 Developing Prototypes Based on Client Requirements 10.4 Hands-on: Deployment Optional Module: AI Agents for Engineering 1. Understanding AI Agents 2. Case Studies 3. Hands-On Practice with AI Agents Learning Outcomes Attain a comprehensive understanding of AI fundamentals, from basic principles to advanced applications. Gain hands-on experience in building and deploying AI solutions. Learn about AI architecture, neural networks, LLM, generative AI, and NLP. Utilize Transfer Learning techniques with frameworks like Hugging Face to efficiently adapt pre-trained models for various tasks. Develop skills to create sophisticated GUIs for AI applications. Navigate AI communication and deployment pipelines effectively AI Tools You will master the following AI tools in our AI+ Engineer course TensorFlow Hub Who Should Attend AI & Software Engineers: Enhance your development skills by mastering AI techniques and designing advanced AI systems. Machine Learning Enthusiasts: Apply deep learning, neural networks, and NLP techniques to real-world AI challenges.  Data Scientists: Strengthen your AI toolkit with engineering techniques for building and deploying scalable AI solutions.  IT Specialists & System Architects: Integrate AI solutions into existing infrastructures, optimizing performance and scalability.  Students & New Graduates: Develop in-demand AI engineering skills and prepare for a successful career in the rapidly growing AI field Delivery options AI+ Engineer is available as a self-paced online course or instructor-led.  Instructor-led: Held over 5 days, it is an intensive week of training which includes live demos, hands-on labs, real-time Q&A and peer collaboration. This course can be delivered onsite at your premises or in our virtual classroom. Request a quote for your team  Self-Paced online: 30-hours of on-demand video lessons, e-book and podcasts. Access to your own online learning portal for 12-months to work through and certify. Learn anywhere, anytime, with modular quizzes to track progress. Pre-requisites AI+ Data™  or AI+ Developer™ course should be completed.  Basic understanding of Python programming is mandatory for hands-on exercises and project work.  Familiarity with high school-level algebra and basic statistics is required.  Understanding basic programming concepts such as variables, functions, loops, and data structures like lists and dictionaries is essential.    Exam & Certification This course prepares participants for the examination leading to AI+ Developer certification. The exam is held online via a proctored exam platform.  Duration: 90 minutes Questions: 50 multiple-choice/multiple-response Passing mark: 70% (35 questions correct out of 50 questions) Delivery: completed online via your AI Certs learning portal A digital certification will be provided upon passing Exam Blueprint: Foundations of Artificial Intelligence (AI) - 5% Mathematical Concepts for AI - 5% Python for AI Development - 10% Mastering Machine Learning - 15% Deep Learning - 10% Computer Vision - 10% Natural Language Processing (NLP) - 15% Reinforcement Learning - 5% Cloud Computing in AI Development - 10% Large Language Models (LLMs) - 5% Cutting-Edge AI Research - 5% AI Communication and Documentation - 5% Course Materials & Inclusions One-year subscription to the AI+ course materials, these are regularly updated to ensure the latest developments are included in your courseware. This includes: High-Quality Videos, E-book (PDF & Audio), and Podcasts  AI Mentor for Personalised Guidance  Quizzes, Assessments, and Course Resources  Comprehensive Exam Study Guide  Official AI+ Certification Online Proctored Exam   One Free Exam Retake  You will receive a digital certification upon passing the online examination.