This program is designed for developers. It offers structured learning in key AI domains. The syllabus includes everything from fundamental Python mastery to advanced topics. Participants will learn to process and analyze data, build AI models, explain how AI models work, and deploy them in real time. Purchase our self-paced online course, or Request a Quote for your team. Course Overview The AI+ Developer™ Certification helps you master innovative technology andadvance your career in Artificial Intelligence (AI). Within this certification, you willcover various topics such as python programming, advanced AI methods, linearalgebra, calculus, probability, statistics, data structures, and control flow to thrive inthis dynamic sector. Learners will master Deep Learning (DL), Neural Networks, andGANs, applying them to exciting AI applications such as image processing, objectidentification, text categorization, and question-answering systems will bedemonstrated. Engage in hands-on exercises and real-world case studies in sectors like healthcare,finance, and autonomous driving, which will help you to gain practical experienceand insights. In this certification, you will learn to use AWS, Azure, and Google Cloudfor AI development and deployment, and train and optimize GPT-4 and BERT language models. You will also learn about AI ethics, ensuring fairness, transparency, and accountability in AI systems. Completing this certification boosts your professional credibility and will be recognized globally by employers as proof of your AI expertise.  Why AI+ Developer Master Key AI Development Skills: Learn Python, deep learning, advanced concepts, and optimization techniques to build robust AI solutions. Specialize in Cutting-Edge AI Domains: Gain expertise in NLP, computer vision, or reinforcement learning, alongside data processing, exploratory analysis, and time series analysis. Stay Ahead in AI Development: AI is transforming industries, and organizations seek developers with strong proficiency in deploying AI models to solve real-world problems. Advance Your Career in AI Development: With growing demand across tech, finance, and healthcare sectors, this certification positions you as a leader in AI-driven development. Course Modules Module 1: Foundation of Artificial Intelligence (AI) 1.1 Introduction to AI 1.2 Types of Artificial Intelligence 1.3 Branches of Artificial Intelligence 1.4 Applications and Business Use Cases Module 2: Mathematical Concepts for AI 2.1 Linear Algebra 2.2 Calculus 2.3 Probability and Statistics 2.4 Discrete Mathematics Module 3: Python for Developer 3.1 Python Fundamentals 3.2 Python Libraries Module 4: Mastering for Machine Learning 4.1 Introduction to Machine Learning 4.2 Supervised Machine Learning Algorithms 4.3 Unsupervised Machine Learning Algorithms 4.4 Model Evaluation and Selection Module 5: Deep Learning 5.1 Neural Networks 5.2 Improving Model Performance 5.3 Hands-on: Evaluating and Optimizing AI Models Module 6: Computer Vision 6.1 Image Processing Basics 6.2 Object Detection 6.3 Image Segmentation 6.4 Generative Adversarial Networks (GANs) Module 7: Natural Language Processing 7.1 Text Preprocessing and Representation 7.2 Text Classification 7.3 Named Entity Recognition (NER) 7.4 Question Answering (QA) Module 8: Reinforcement Learning 8.1 Introduction to Reinforcement Learning 8.2 Q-Learning and Deep Q-Networks (DQNs) 8.3 Policy Gradient Methods Module 9: Cloud Computing in AI Development 9.1 Cloud Computing for AI 9.2 Cloud-Based Machine Learning Services Module 10: Large Language Models 10.1 Understanding LLMs 10.2 Text Generation and Translation 10.3 Question Answering and Knowledge Extraction Module 11: Cutting-Edge AI Research 11.1 Neuro-Symbolic AI 11.2 Explainable AI (XAI) 11.3 Federated Learning 11.4 Meta-Learning and Few-Shot Learning Module 12: AI Communication and Documentation 12.1 Communicating AI Projects 12.2 Documenting AI Systems 12.3 Ethical Considerations Optional Module: AI Agents for Developers 1. Understanding AI Agents 2. Case Studies 3. Hands-On Practice with AI Agents Learning Outcomes Comprehensive exploration of AI, focusing on fundamental and advanced topics. In-depth instruction on Python programming essential for AI development. Study Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning (RL) to prepare for specialized AI tasks. Understand Cloud platforms for AI development and deployment which providescalability, efficiency, and access to powerful computational resources. Explore AI's ethical and social implications, emphasizing responsible AI practicesand the broader influence of AI technology on society. AI Tools You will master the following AI tools in our AI+ Developer course GitHub Copilot Lobe Who Should Attend Software Developers: Enhance your coding expertise by mastering AI algorithms and deep learning techniques.  Data Enthusiasts: Apply AI-driven data analysis, machine learning models, and deep learning to solve complex problems.  Computer Vision & NLP Researchers: Dive into specialized AI fields, including computer vision and natural language processing.  IT Specialists & System Architects: Integrate AI solutions into existing systems and optimize performance.  Students & Fresh Graduates: Build a strong foundation in AI development and prepare for future opportunities in tech Delivery options AI+ Developer 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 Basic math, including familiarity with high school-level algebra and basic statistics, is desirable.  Understanding basic programming concepts such as variables, functions, loops, and data structures like lists and dictionaries is essential.  A fundamental knowledge of programming skills is required.  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.