- AI Certifications
AI+ Developer™
This globally recognized AI+ Developer™ Certification Course by AI CERTs® equips developers with essential knowledge to build, deploy, and optimize artificial intelligence applications—enabling them to confidently begin their journey into developing intelligent, scalable, and production-ready AI solutions.
AI+ Developer™ Certification
Synergogy, the Authorized Training Partner (ATP) of AI Certs, brings you this globally recognized AI+ Developer™ Certification Course by AI CERTs® equips developers with essential knowledge to build, deploy, and optimize artificial intelligence applications—enabling them to confidently begin their journey into developing intelligent, scalable, and production-ready AI solutions.
- Format: Self paced online course.
- Level: Includes time series, model explainability, and cloud deployment.
- Certificate: AI+ Developer™ Certification by AI Certs®.
- Partner: Delivered by Synergogy as an ATP for AI Certs.
AI+ Developer™ Certification
This course includes
- Online Self-Paced Learning
- Online Proctored Exam with 1 Free Retake
- Digital Badge
- High-Quality Videos, E-books, and Podcasts
- Access for Tablet & Phone
- Capstone Projects
- Case Studies
- Quizzes & Assessments
- AI Mentor for Personalized Guidance
Why This Certification Matters
- Build a Strong Foundation in AI Development
Develop essential AI development skills, including Python programming, deep learning techniques, advanced model optimization, and performance tuning to create reliable, scalable AI solutions. - Develop Expertise in High-Impact AI Specializations
Gain hands-on knowledge across leading AI domains such as natural language processing, computer vision, and reinforcement learning, supported by data processing, exploratory analysis, and time-series modeling techniques. - Stay Competitive in a Rapidly Evolving AI Landscape
As AI adoption accelerates across industries, organizations increasingly seek developers capable of deploying and maintaining AI models that address real-world challenges and deliver measurable outcomes. - Accelerate Career Growth in AI Engineering
Position yourself for advanced roles in AI development across technology, finance, healthcare, and emerging sectors by acquiring in-demand skills that support innovation and leadership in AI-driven projects.
- Software Developers: Expand coding expertise by building proficiency in AI algorithms, machine learning workflows, and deep learning techniques.
- Data Enthusiasts: Apply AI-powered data analysis, machine learning models, and advanced analytics to solve complex, real-world problems.
- Computer Vision and NLP Practitioners: Develop specialized skills in high-impact AI domains such as computer vision and natural language processing.
- IT Specialists and System Architects: Learn to integrate AI solutions into existing infrastructures while optimizing system performance and scalability.
- Students and Early-Career Professionals: Establish a strong foundation in AI development to prepare for emerging opportunities in the technology sector.
- GitHub Copilot
- Lobe
- H2O.ai
- Snorkel
- 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.
- 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%
What You'll Learn
1: Foundations of Artificial Intelligence
Evolution and core concepts of AI
Types of AI: Weak, General, and Super AI
AI applications across industries
Overview of AI development lifecycle
2: Mathematical and Programming Foundations
Linear algebra, calculus, probability, and statistics for AI
Discrete mathematics and algorithmic thinking
Python fundamentals for AI development
Data structures, control flow, and essential libraries (NumPy, Pandas)
3: Machine Learning Essentials
Supervised, unsupervised, and reinforcement learning concepts
Data preprocessing and feature engineering
Model training, evaluation, and optimization
Regression, classification, and clustering techniques
4: Deep Learning and Neural Networks
Neural networks and backpropagation
CNNs and RNNs for complex data modeling
Deep learning frameworks (TensorFlow, PyTorch, Keras)
Hands-on deep learning model development
5: Computer Vision and Generative Models
Image processing and visual data analysis
Object detection and image segmentation techniques
GANs for image generation and style transfer
Real-world computer vision applications
6: Natural Language Processing and Large Language Models
Text preprocessing and word embeddings
NLP tasks: sentiment analysis, NER, topic modeling
Large Language Models (BERT, GPT, T5)
Building question-answering and text-generation systems
7: Reinforcement Learning and Cloud AI Development
Reinforcement learning fundamentals and algorithms
Q-learning, DQNs, and policy-based methods
Cloud platforms for AI (AWS, Azure, GCP)
Scalable AI deployment, AutoML, and MLOps basics
8: Advanced AI, Ethics, and Professional Practice
Cutting-edge AI research (XAI, federated learning, meta-learning)
Responsible and ethical AI development
AI communication and technical documentation
Capstone-style application of AI solutions in real-world scenarios
Bring our
AI+ Foundation™ Course in-house
Interested in getting your team started with the AI Foundation Course, fully customised for your team?
FAQs - AI+ Developer™
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1. What is the AI+ Developer™ Certification?
The AI+ Developer™ Certification by AI CERTs® is a globally recognized program designed to equip developers with end-to-end skills in artificial intelligence, including machine learning, deep learning, NLP, computer vision, and scalable AI deployment.
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2. Who should enroll in the AI+ Developer™ course?
This certification is ideal for software developers, data enthusiasts, AI practitioners, IT specialists, system architects, and students who want to build, deploy, and optimize real-world AI solutions across industries.
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3. What skills will I gain from the AI+ Developer™ Certification?
Learners gain hands-on skills in Python for AI, machine learning and deep learning model development, NLP and large language models, computer vision, reinforcement learning, cloud-based AI deployment, and responsible AI practices.
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4. Are there any prerequisites for enrolling in the AI+ Developer™ Certification?
No formal prerequisites are required. However, basic programming knowledge and familiarity with mathematics or data concepts can help learners progress more quickly through the course content.
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5. How does the AI+ Developer™ Certification support career growth?
The certification validates in-demand AI development skills, preparing professionals for roles such as AI Developer, Machine Learning Engineer, AI Software Engineer, Data Scientist, and AI Solutions Architect in technology-driven organizations.
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