AI in Trading

Course

Bots to big wins: Elevate your trading game with our cutting-edge curriculum.

ENROLL

Join students from top institutions

The Current Reality

Navigating today's financial terrain demands more than traditional tactics. With AI as the new frontier, staying ahead isn't about keeping pace—it's about pioneering the next wave.

The Dilemma

With market complexities deepening and manual approaches falling short, the trading sphere faces a defining moment. Embracing AI trading isn't a luxury—it's the strategic imperative for survival.

Picture a trading world where AI deciphers intricate market patterns, fine-tunes strategies, and ensures consistent portfolio growth. Harnessing the prowess of LangChain and LLMs, backed by cutting-edge techniques like Deep Learning and Reinforcement Learning, our AI in Trading course transforms this vision into your competitive advantage.

The Solution

Enter AI in Trading

Course

Our AI in Trading course is designed to fuse traditional trading insights with the transformative power of AI. Tailored for traders, finance enthusiasts, and tech innovators alike, it provides a comprehensive toolkit to leverage AI's potential in mastering market dynamics. Whether you're charting a new trading strategy, diving into fintech research, or aiming to innovate in finance, this course is your gateway to revolutionizing the trading landscape

Merge the power of AI with the intricacies of financial markets. Our AI Trading Course blends technology and strategy for unparalleled trading insights.

Check out what you will learn in this course:

Module 1: Introduction to AI in Trading
- Overview of AI in Financial Markets
- Python for Trading: Essential Libraries
- Fundamentals of Trading Bots
- Risk Management in AI Trading
Module 2: Building Your First Trading Bot
- Data Acquisition Techniques
- Basic Algorithm Design and Testing
- Backtesting and Performance Analysis
Module 3: Trading Analysis Techniques
- Principles of Fundamental Analysis
- Technical Analysis: Charts and Indicators
- Integrating Fundamental and Technical Analysis
Module 4: Sentiment Analysis in Trading
- Basics of Market Sentiment Analysis
- Sentiment Analysis with NLP (LLM)
- Integrating Sentiment into Trading Strategies
Module 5: Deep Learning in Financial Markets
- Introduction to Deep Learning Concepts
- Time Series Prediction with LSTMs
- Pattern Recognition with CNNs
- Anomaly Detection using Auto-encoders
- Synthetic Data Generation with GANs
Module 6: Leveraging Large Language Models

Introduction to ChatGPT in Finance
Developing Custom Financial Bots
LLMs for Regulatory Compliance
Custom Sources
Hybrid Models: LLMs and Traditional AI

Module 7: Reinforcement Learning in Trading
- Basics of Reinforcement Learning
- Building RL-based Trading Strategies
- Advanced RL: DQN and PPO
Module 8: Optimisation and Yield Maximisation
- Techniques in Model Optimisation
- Ablation Studies for Performance Improvement
Module 9: Best Practices and Real-World Applications
- Developing Optimal Trading Strategies
- Switching between Paper Money and Real Money.
- Comprehensive AI Trading Bot Project
- Real-World Case Studies and Analysis

Enroll

Curriculum

Module 1

Introduction to AI in Trading

Overview of AI in Financial Markets
Python for Trading: Essential Libraries
Fundamentals of Trading Bots
Risk Management in AI Trading

Module 2

Building Your First Trading Bot

Data Acquisition Techniques
Basic Algorithm Design and Testing
Backtesting and Performance Analysis

Module 3

Trading Analysis Techniques

Principles of Fundamental Analysis
Technical Analysis: Charts and Indicators
Integrating Fundamental and Technical Analysis

Module 4

Sentiment Analysis in Trading

Basics of Market Sentiment Analysis
Sentiment Analysis with NLP (LLM)
Integrating Sentiment into Trading Strategies

Module 5

Deep Learning in Financial Markets

Introduction to Deep Learning Concepts
Time Series Prediction with LSTMs
Pattern Recognition with CNNs
Anomaly Detection using Auto-encoders
Synthetic Data Generation with GANs

Module 6

Leveraging Large Language Models

Introduction to ChatGPT in Finance
Developing Custom Financial Bots
LLMs for Regulatory Compliance
Custom Sources
Hybrid Models: LLMs and Traditional AI

Module 7

Reinforcement Learning in Trading

Basics of Reinforcement Learning
Building RL-based Trading Strategies
Advanced RL: DQN and PPO

Module 8

Optimisation and Yield Maximisation

Techniques in Model Optimisation
Ablation Studies for Performance Improvement

Module 9

Best Practices and Real-World Applications

Developing Optimal Trading Strategies
Switching between Paper Money and Real Money.
Comprehensive AI Trading Bot Project
Real-World Case Studies and Analysis

Full Curriculum

What do industry leaders say about our program?

Ollencio D'Souza

Director at Technologycare

Without direction one would be floundering in an ocean of information - but with a lifeline to help you though it - you can take the ocean on! Great imagination training too (something desperately required in the professional world)!

Kishore G

Senior Software Engineer at GVS

These courses are extremely helpful for us specially when there aren't many relevant tutorials outside. This course is a life saver for beginners. Highly recommend. Subscription model is value for money for Indians . Highly recommend to purchase yolo plus

Tim Goebel

CEO | Iconic AI

This course is very informative. There is so much in the course that you can use a lot of it in real world. The main reason I wanted to take it was cause trails. I see many areas to use trails at. I recommend if you haven't taken it, you should.

30 Hours+ Content

Code + Datasets

Beginner Friendly

Lifetime Access

Enroll

What's Included?

One-on-one Personal Coaching

Exclusive to the Elite Plan: Get 2 private coaching sessions or mentorship with Ritesh Kanjee, a leading expert in artificial intelligence, each 15 minutes long.

Access to Private Inner Circle

You get access to a private online and Whatsapp community where you can network with other students and industry professionals. Ask questions and get feedback on your projects.

Monthly A.I. Challenges

Gain new skills in our Inner Circle with additional monthly projects & challenges that provide hands-on experience applying your A.I. knowledge in creative ways, expanding your expertise beyond the course material.

VIP Tech Support - Fast Assistance

Get fast and reliable technical assistance with VIP Tech Support. Our expert technicians are available 24/7 to solve any issues, ensuring that your code runs smoothly and hassle-free.

A.I. Internship Opportunities

Augmented Startups offers internships and apprenticeships to launch your career in AI. Gain hands-on experience and real-world skills to succeed in this growing industry.

[Bonus 1] ChatGPT Prompt Engineering Course

Join the ChatGPT revolution and become an expert prompt engineer with our cutting-edge course. Learn to generate natural language text and automate tasks using AI.

Reviews from our Courses

Constantin Shafranski

Data Scientist at Cognyte

As someone who has not yet dealt with image segmentation, I found this course to be quite helpful. It emphasizes the background theory appropriately, which I believe is quite crucial to get some idea of the topic and not "dive" straight into the coding part without actually understanding how things should operate. In addition, the course is designed in such a way that even someone who is not an expert AI coder may follow along without wondering "what the F* is going on here?". The instructions are clear, and the information is well-organized. A lot of the information regarding the entire process of building and preprocessing a custom dataset is also applicable to a variety of different tasks in the image domain, thus the course is also a very valuable source of reference.

GitHub

Christopher Berry

Data Scientist at Alfred Health

You won't find courses with higher quality, I’ve done countless online courses from many different platforms and individuals but the courses produced by Ritesh and Augmented Startups are the best Computer Vision courses you’ll find. Their project ideas are extremely innovative, and they’re always implementing the latest state-of-the-art algorithms, so it’s no surprise that their models achieve elite results. My favorite project was the Heart Rate Detection and which achieved amazing FPS which is a testament to the quality of their code. I just enrolled in their YOLO+ course and I look forward to enrolling in future courses their team creates too.

Thank you, Ritesh, and Augmented Startups, all the best 😊

Chris

Emmanuel Oluga

Medical Design Innovations Lab at UTSA

Ritesh is truly one of the most Intelligent and resourceful Individuals I have ever met and collaborated on activities with. He is always enthusiastic about taking on challenges and providing actionable and effective solutions, whether it be in the field of Computer Vision, graphics, and Machine learning for practical applications or it is in any other field where an innovative approach to problem-solving is Indispensable. Most impressive and inspirational are his Communication, Interpersonal, and leadership skills that accentuate his technical expertise in the fields of Al and ML for Machine vision applications. These qualitative and quantitative skills and traits he possesses, position him well to thrive in any endeavor and environment.

Bonus 1

Object Detection Bundle

Computer Vision Traffic Monitoring Dashboard Course

Orginal Value [$299]

Build a Full-Stack Deployable Traffic Analytics Dashboard from Scratch using YOLOX

Module 1: Object Detection
Master YOLOX for object detection through an in-depth paper review, understanding its loss function, and key metrics like IoU and mAP. Learn to apply YOLOX on images/videos and perform live inference.
Module 2: Training Custom YOLOX
Understand the basic building blocks for data collection and augmentation, dataset health, tuning training parameters, and model performance analysis. Speed up annotation with active learning.
Module 3:YOLOX + Tracking
Dive into Object Tracking Basics through a blend of cutting-edge SOTA exploration, paper reviews, and hands-on implementations. Master Multi-Object Tracking (MOT) and learn how to seamlessly integrate YOLOX with SORT.
Module 4: YOLOX + Tracking
Learn practical applications of object tracking: Detect and track vehicles, count and sort them, identify direction trajectories, and calculate speed—all in real-time using a LIVE RTSP camera.
Module 5: Traffic Flow Dash App
Master dashboard creation with Plotly Dash, from UI planning and visualizations to integrating YOLOX and tracking data. Learn layout design, styling, and deploy your solution.

Bonus 2

YOLOv7

Computer Vision Pro Course

Original Price [$299]

Become a YOLOv7 Object Detection Pro Specialist in just 4 Weeks.

Introduction
YOLOv7 & Research Paper Review
Training
Custom YOLOv7
YOLOv7 + Tracking intro
Multi-Object Tracking and Integration
YOLOv7 Conversion
Pytorch, ONNX, OpenVINO, TensorRT
Flask Integration
Integration with Yolov7
Applications
Security with Dashboard, Mining Safety Check, Retail Heat Maps, Agriculture Count Fruit, Traffic, Vehicle Counting, License Plate Recognition, Gaming Aimbot, Whiteboard Drawings generation.
Pose Estimation
Pose Estimation Basics with Push-up Counting, Bicep Curl Application, Yoga Pose Identification & Fall Detection
Object Segmentation
Installation of Conda, Running it on Google Colab, Dataset Collection, Annotation and using Roboflow for Dataset Augmentation, Running the model

Bonus 3

YOLOR/v7 StreamLit Dashboard Application

Use YOLOR with DeepSORT and YOLOv7 with ByteTrack and then combine it with StreamLit, so that you have an interactive Computer Vision Dashboard.

Bonus 4

StreetStat Application with Kivy | YOLOv8

An advanced object detection algorithm, to provide real-time statistics and insights about traffic and presenting it in Graph format

Certification

Once you complete the course, you will graduate with an Official Certificate embedded with a unique ID that you can share on LinkedIn.

Your Instructor

Ritesh Kanjee

113k+ Subscribers YouTube

71k Students Augmented Startups

M(Eng.) Electronic University of Joburg

34k+ Followers LinkedIn

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AI in Trading Nano Course

FREE

PREVIEW

Module 1:
Introduction to AI in Trading
- Overview of AI in Financial Markets
- Python for Trading: Essential Libraries
- Fundamentals of Trading Bots
- Risk Management in AI Trading
Module 2:
Building Your First Trading Bot
- Data Acquisition Techniques
- Basic Algorithm Design and Testing
- Backtesting and Performance Analysis

LIFETIME ACCESS to AI in Trading Nano

Discord & Facebook Community

[Normal Price $49]

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AI in Trading Mini Course

$199

ONCE OFF

Module 1:
Introduction to AI in Trading
Module 2:
Building Your First Trading Bot
Module 3:
Trading Analysis Techniques
- Principles of Fundamental Analysis
- Technical Analysis: Charts and Indicators
- Integrating Fundamental and Technical Analysis
Module 4:
Sentiment Analysis in Trading
- Basics of Market Sentiment Analysis
- Sentiment Analysis with NLP (LLM)
- Integrating Sentiment into Trading Strategies

LIFETIME ACCESS to AI in Trading Mini

ACCESS Anywhere, Anytime on the Web or through the Kajabi app (iOS & Android)

WhatsApp, Discord & Facebook Community

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AI in Trading PRO Course

$299

ONCE OFF

Module 1:
Introduction to AI in Trading
Module 2:
Building Your First Trading Bot
Module 3:
Trading Analysis Techniques
Module 4:
Sentiment Analysis in Trading
Module 5: Deep Learning in Financial Markets
- Introduction to Deep Learning Concepts
- Time Series Prediction with LSTMs
- Pattern Recognition with CNNs
- Anomaly Detection using Auto-encoders
- Synthetic Data Generation with GANs
Module 6: Reinforcement Learning in Trading
- Basics of Reinforcement Learning
- Building RL-based Trading Strategies
- Advanced RL: DQN and PPO
Module 7:
Leveraging Large Language Models
- Introduction to ChatGPT in Finance
- Developing Custom Financial Bots
- LLMs for Regulatory Compliance
- Custom Sources
- Hybrid Models: LLMs and Traditional AI
Module 8:
Optimisation and Yield Maximisation
- Techniques in Model Optimisation
- Ablation Studies for Performance Improvement
Module 9:
Best Practices and Real-World Applications
- Developing Optimal Trading Strategies
- Switching between Paper Money and Real Money.
- Comprehensive AI Trading Bot Project
- Real-World Case Studies and Analysis