AI+ Developer™ - eLearning (exam included)
448,00 EUR
- 40 hours
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.
Key Features
Language
Course and material in English
Level
Advanced level (Category: AI+ Technical)
1 year platform access
and Virtual Hands-on Lab included
40 hours of video lessons & multimedia
50 hours of study time recommendation
Material
Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included. Valid for 1 year
Tools You’ll Master
GitHub Copilot, Lobe, H2O.ai, Snorkel
About the course
Envision the Future: Neural Networks for Vision
- Advanced AI Mastery: Explore neural networks, NLP, and computer vision frameworks.
- Enterprise-Scale AI: Learn to develop scalable AI systems with real-world applications.
- Capstone Experience: Design, test, and deploy sophisticated AI architectures.
- Career-Ready Skills: Prepare for in-demand roles in AI system design and implementation.
Through hands-on exercises and case studies in industries like healthcare, finance, and autonomous driving, participants acquire practical experience and insights. The course also covers AI development and deployment on cloud platforms including AWS, Azure, and Google Cloud, as well as training and optimizing language models like GPT-4 and BERT.
Ethical AI practices are emphasized, ensuring fairness, transparency, and accountability in AI systems. Completing this certification enhances professional credibility and is recognized globally as proof of AI expertise, preparing developers to integrate AI effectively into their roles.
Why This Certification Matters
Gain proficiency in Python, deep learning, advanced AI concepts, and optimization techniques to create powerful AI solutions.
Learning Outcomes
At the end of this course, you will be able to:
Python Programming Skills
Build a solid foundation in Python to develop AI algorithms, handle data, and create scalable AI applications.
AI Cloud Deployment
Learn to leverage cloud platforms like AWS, Google Cloud, and Azure for deploying robust AI systems
Deep Learning Mastery
Gain expertise in deep learning frameworks for applications in image recognition, NLP, and predictive analytics.
AI Project Management
Develop skills to plan, allocate resources, and communicate effectively for successful AI project execution
Course timeline
Foundations of Artificial Intelligence
Lesson 1
- 1.1 Introduction to AI
- 1.2 Types of Artificial Intelligence
- 1.3 Branches of Artificial Intelligence
- 1.4 Applications and Business Use Cases
Mathematical Concepts for AI
Lesson 2
- 2.1 Linear Algebra
- 2.2 Calculus
- 2.3 Probability and Statistics
- 2.4 Discrete Mathematics
Python for Developer
Lesson 3
- 3.1 Python Fundamentals
- 3.2 Python Libraries
Mastering Machine Learning
Lesson 4
- 4.1 Introduction to Machine Learning
- 4.2 Supervised Machine Learning Algorithms
- 4.3 Unsupervised Machine Learning Algorithms
- 4.4 Model Evaluation and Selection
Deep Learning
Lesson 5
- 5.1 Neural Networks
- 5.2 Improving Model Performance
- 5.3 Hands-on: Evaluating and Optimizing AI Models
Computer Vision
Lesson 6
- 6.1 Image Processing Basics
- 6.2 Object Detection
- 6.3 Image Segmentation
- 6.4 Generative Adversarial Networks (GANs)
Natural Language Processing
Lesson 7
- 7.1 Text Preprocessing and Representation
- 7.2 Text Classification
- 7.3 Named Entity Recognition (NER)
- 7.4 Question Answering (QA)
Reinforcement Learning
Lesson 8
- 8.1 Introduction to Reinforcement Learning
- 8.2 Q-Learning and Deep Q-Networks (DQNs)
- 8.3 Policy Gradient Methods
Cloud Computing in AI Development
Lesson 9
- 9.1 Cloud Computing for AI
- 9.2 Cloud-Based Machine Learning Services
Large Language Models
Lesson 10
- 10.1 Understanding LLMs
- 10.2 Text Generation and Translation
- 10.3 Question Answering and Knowledge Extraction
Cutting-Edge AI Research
Lesson 11
- 11.1 Neuro-Symbolic AI
- 11.2 Explainable AI (XAI)
- 11.3 Federated Learning
- 11.4 Meta-Learning and Few-Shot Learning
AI Communication and Documentation
Lesson 12
- 12.1 Communicating AI Projects
- 12.2 Documenting AI Systems
- 12.3 Ethical Considerations
AI Agents for Developers
Optional Module
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents
Who Should Enroll in this Program?
Software Developers: Master AI algorithms and deep learning.
Data Enthusiasts: Apply AI and ML for complex problem-solving.
Computer Vision & NLP Researchers: Explore computer vision and natural language processing.
IT Specialists & Architects: Integrate AI into systems and optimize performance.
Industry Growth
Empowering Developers to Build Intelligent, Scalable AI Solutions
- Around 82% of developers are using AI tools to enhance coding (2024 Stack Overflow Developer Survey, Statista).
- Create AI-driven applications that improve system performance and tackle real-world challenges.
- Apply deep learning and optimization methods to boost model accuracy and efficiency.
- Specialize in NLP, computer vision, and reinforcement learning for industry-specific AI models.
- Growing demand for AI-skilled developers is driving high-paying global career opportunities.
More Details
Prerequisites
- Basic math skills, including high school-level algebra and introductory statistics, are recommended.
- Familiarity with core programming concepts such as variables, functions, loops, and data structures (lists, dictionaries) is essential.
- A foundational understanding of programming is required.
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
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