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AI+ Developer Practitioner™

Name: AI+ Developer Practitioner™
Brand: Learning People
Price: 375.00 GBP
Availability: InStock

The AI+ Developer™ self-paced learning course by AI CERTs® is a flexible certification program designed to equip software engineers and developers with practical skills to build, train, evaluate, and deploy full-stack AI applications, deep learning models, natural language processing (NLP) pipelines, and large language model (LLM) integrations in production environments.

Course Overview

Core AI Foundations: Covers Python, deep learning, data processing, and algorithm design

Hands-on Projects: Focus on NLP, computer vision, and reinforcement learning

Advanced Modules: Includes time series, model explainability, and cloud deployment

Industry-Ready Skills: Prepares learners to design and deploy complex AI systems

Certification overview:

Included Items: Instructor-led OR Self-paced course + Official exam + Digital badge

Certificate Duration:

Instructor-Led: 5 days (live or virtual)
Self-Paced: 40 hours of content

Prerequisites: Basic maths, computer science fundamentals, fundamental programming skills

Exam Format: 50 questions, 70% passing, 90 minutes, online proctored exam

Why this certification matters:

Master Key AI Development Skills: Learn Python, deep learning, advanced concepts, and optimisation techniques to build robust AI solutions. Specialise 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 organisations 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.

Who should enrol:

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 specialised AI fields, including computer vision and natural language processing.

IT Specialists & System Architects: Integrate AI solutions into existing systems and optimise performance.

Students & Fresh Graduates: Build a strong foundation in AI development and prepare for future opportunities in tech.

Tools You'll Master

GitHub Copilot

Lobe

H2O.ai

Snorkel

Certification Modules

Course Overview

Course IntroductionPreview

Module 1: Foundations of Artificial Intelligence

1.1 Introduction to AI Preview

1.2 Types of Artificial Intelligence Preview

1.3 Branches of Artificial Intelligence

1.4 Applications and Business Use Cases

Module 2: Mathematical Concepts for AI

2.1 Linear Algebra Preview

2.2 Calculus Preview

2.3 Probability and Statistics Preview

2.4 Discrete Mathematics

Module 3: Python for Developers

3.1 Python Fundamentals Preview

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 Optimising 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

Frequently Asked Questions

What core industry problems does the AI+ Developer Self-Paced Learning V3 training solve?

This course is engineered to help you solve real-world operational inefficiencies by integrating advanced machine learning tools into your daily workflow. You will learn to automate tedious data processing, construct predictive models, and optimize systemic outputs specific to this domain. By learning these practical automation skills, you immediately boost your daily professional output and elevate your long-term career value.

Are the tools and software platforms taught in this course accessible to beginners?

The curriculum is structured logically to support clean career progression, moving from essential concepts to advanced configurations. While technical tracks introduce deeper code integrations, our industry-specific modules utilize user-friendly enterprise interfaces and pre-trained prompt systems. This balanced approach ensures you can comfortably master the curriculum, acquire highly sought-after skills, and earn your digital record badge without frustration.

How will completing this self-paced course help upgrade my professional CV?

Completing this training demonstrates to modern employers that you possess practical, forward-looking expertise in artificial intelligence integration. Your profile will stand out with specialized technical capabilities, showing you can actively deploy automation, reduce operational costs, and manage digital workflows. This enables you to confidently pursue high-tier promotions, transition into modern tech roles, and take your career to the absolute next level.