AI+ Developer™ - eLearning (exam included)

AI+ Developer™ - eLearning (exam included)

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.

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.

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.

Why This Certification Matters

• Develop Core AI Expertise: Gain proficiency in Python, deep learning, advanced AI concepts, and optimization techniques to create powerful AI solutions.
• Specialize in Advanced AI Fields: Build skills in NLP, computer vision, reinforcement learning, data processing, exploratory analysis, and time series modeling.
• Stay Competitive in AI Development: Learn to deploy AI models effectively, meeting the growing industry demand for practical, real-world AI applications.
• Boost Your AI Career: Equip yourself for high-demand roles across tech, finance, and healthcare, positioning yourself as a leader in AI-driven development.

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.

Key Features

• Course and material in English 
• Advanced level  (Category: AI+ Technical)
• 1 year access to the platform 24/7
• 40 hours of video lessons & multimedia resources

• 50 hours of study time recommendation 
• Quizzes, Assessments, and Course Resources
• Online Proctored Exam with One Free Retake

• Certification of completion included valid for 1 year

• Virtual Hands-on Lab included
• Tools You’ll Master: GitHub Copilot, Lobe, H2O.ai, Snorkel

Learning Outcomes

• 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.

Target Audience

• 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.
• Students & Graduates: Gain foundational AI skills for tech careers.

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

Course Content

Module 1: Foundations of Artificial Intelligence

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 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

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.

FAQ

What will I gain from this certification?
After completing the program, you’ll earn the AI+ Developer™ certification, demonstrating your expertise in AI. You’ll acquire the skills to solve practical AI challenges and implement advanced solutions across different domains.

Do I need prior AI knowledge to enroll?
Prior AI experience is not required, but a basic understanding of Python, math, and statistics will help you grasp the advanced topics more easily.

Are there hands-on projects included?
Yes, the course features hands-on projects and practical exercises, allowing you to apply theoretical concepts to real-world scenarios.

Can I specialize in a particular area during the course?
The course does not offer selectable specializations. However, you’ll receive training in key areas such as Natural Language Processing (NLP), computer vision, and reinforcement learning.

How is progress assessed?
Your learning will be evaluated through quizzes, practical exercises, and a final assessment to ensure you can effectively apply the concepts covered.

Recertification Requirements
AI+ Technical courses require recertification every year to keep your certification valid. Notifications will be sent three months before the due date

How Can AVC Help Foster an AI-Ready Culture?
While AI offers significant advantages, many organizations struggle with challenges like talent gaps, complex data environments, and system integration barriers. At AVC, we understand these obstacles and have tailored our certification programs to help businesses overcome them effectively.

Our strategic approach focuses on building a culture that embraces AI adoption and innovation. Through our industry-recognized certifications and in-depth training, we equip your workforce with the skills and knowledge needed to lead your organization confidently into an AI-powered future.

Customized for Impact: Our programs aren't one-size-fits-all. We offer specialized training designed by industry experts to equip your workforce with the specific skills and knowledge needed for critical AI roles.

Practical, Real-World Learning: We prioritize hands-on experience over theory, using real-world projects and case studies. This approach ensures your team gains the confidence and capability to implement AI solutions effectively, driving innovation and measurable business outcomes.