The Blockchain+ Developer certification offers a thorough introduction to blockchain technology and smart contracts, equipping learners with the knowledge and skills to thrive in this rapidly evolving field. The program starts with blockchain fundamentals, including its history, core principles, and decentralized system architecture. Participants will study consensus mechanisms like PoW and PoS, along with smart contract creation and management using languages such as Solidity. Advanced topics include complex Solidity structures, tokenization, and non-fungible tokens (NFTs).

The Bitcoin+ Security™ certification provides in-depth knowledge of the mechanisms and protocols that safeguard Bitcoin and other cryptocurrencies. Learners will study blockchain ledger security through concepts such as integrity, authentication, and block mining. The program covers cryptographic principles and consensus models like Proof of Work (PoW) and Proof of Stake (PoS), examining both their strengths and vulnerabilities.

The Bitcoin+ Developer™ certification equips developers with comprehensive knowledge of Bitcoin, from foundational concepts to advanced scripting and application development. The program covers Layer 2 scaling solutions, real-world use cases, security best practices, and SDK/API integration to enhance and protect Bitcoin applications.

The AI+ Quality Assurance certification equips you with the skills and knowledge to incorporate AI into QA practices, boosting innovation and testing efficiency. Throughout the program, you will explore how AI transforms traditional QA processes, including test planning, execution, defect prediction, and performance testing. You’ll build a solid foundation in AI, machine learning, deep learning, and natural language processing, learning to apply these technologies across various QA scenarios. Hands-on exercises and real-world case studies will help you develop practical skills in automating test cases, predicting defects, and leveraging AI-powered QA techniques.

The AI+ Business Intelligence™ certification trains you to harness AI and BI tools for smarter, data-driven decision-making. You’ll cover core AI and BI concepts, data preparation, machine learning, and advanced AI techniques like deep learning and generative AI. Hands-on work with Python, Power BI, Tableau, and other BI platforms will build skills in data visualization, statistical analysis, and predictive modeling.

The AI+ Robotics Certification provides an immersive exploration of the intersection between Artificial Intelligence (AI) and Robotics. Tailored for professionals aiming to excel in this field, it covers foundational concepts, advanced Deep Learning (DL), and Reinforcement Learning (RL) techniques applied specifically to robotics.

The AI+ Quantum Certification offers a comprehensive exploration of the convergence between Artificial Intelligence (AI) and Quantum Computing. Tailored for professionals seeking expertise in this cutting-edge field, the program covers fundamental concepts, advanced techniques, and the ethical aspects of AI-Quantum integration. Learners will study Quantum Computing Gates, Circuits, and Algorithms, emphasizing their applications in AI.

The AI+ Data Certification provides a comprehensive learning journey, equipping professionals with core data science skills. It covers foundational topics like statistics, programming, and data wrangling, progressing to advanced modules in generative AI and Machine Learning (ML). The program emphasizes data-driven decision-making and storytelling to strengthen both analytical and communication abilities.

The AI+ Prompt Engineer Level 2 Certification equips developers with advanced skills in prompt engineering, focusing on optimizing AI model outputs and improving performance across diverse projects. You’ll master techniques for API integration, effective prompt creation, and real-time dynamic adjustments with tools like LangChain. Advanced topics include contextual and stateful prompts, meta-prompting, and domain-specific designs—ensuring adaptability and precision in AI-driven solutions.

The AI+ Engineer certification is tailored for Software Engineers, offering a structured pathway from AI fundamentals to advanced applications. The program begins with AI foundations and progresses to AI architecture, neural networks, LLMs, generative AI, NLP, and Transfer Learning using Hugging Face. Participants will also gain skills in designing advanced GUIs for AI solutions and understanding AI communication and deployment pipelines through practical, hands-on exercises.

The AI+ Developer™ Certification equips you with the skills to excel in Artificial Intelligence (AI) and advance your career. This program covers Python programming, advanced AI techniques, linear algebra, calculus, probability, statistics, data structures, and control flow, providing a strong foundation for success in AI. Learners will gain expertise in Deep Learning (DL), Neural Networks, and GANs, applying these technologies to real-world AI applications such as image processing, object detection, text classification, and question-answering systems.

The AI+ Architect Certification is an advanced program designed for cloud architects, providing a deep dive into Artificial Intelligence (AI) and its practical implementations. The curriculum begins with core neural network principles and progresses to advanced topics such as optimization, hyperparameter tuning, and regularization. Learners work with AI architectures including Recurrent Neural Networks (RNNs), Long Short-Term Memory networks (LSTMs), Transformers, and Convolutional Neural Networks (CNNs), applying them in Natural Language Processing (NLP) and computer vision projects.