Fundamentals of Artificial Intelligence (AI)
Are you ready to embark on a transformative journey into the world of Artificial Intelligence (AI)?
NEXT STARTS
Enrollment is ongoing. Join today—spots are filling fast!
PROGRAM DURATION
80 Hours
LEARNING FORMAT
Online Bootcamp
COURSE DESCRIPTION
The Global Institute of Technology ‘Fundamentals of Artificial Intelligence ‘ is a Foundational Certification program designed to prepare learners for entry level employment opportunities in the field of Artificial Intelligence. Throughout this program, students will acquire a solid grounding in fundamental AI principles and gain proficiency in the necessary tools to confidently step into the realm of emerging AI opportunities. Our curriculum is meticulously designed to empower learners with the knowledge that is pivotal in shaping the digital landscape of today and tomorrow.
WHY CHOOSE OUR AI COURSE?
Empowering Choice
GIT offers courses for those interested in AI, whether as proficient users or visionary builders, tailoring education to individual goals.
Hands-On Learning
GIT offers immersive AI courses, with in-class or online options, emphasizing hands-on labs to apply AI theory in real-world situations.
Location Flexibility
GIT courses offer location flexibility, allowing in-person or online attendance, ensuring a personalized learning experience to suit your preferences.
Vendor Neutral Certification
GIT's AI courses include a proctored exam for a vendor-neutral AI Certification, confirming your skills and boosting employability in a competitive job market.
Interactive Learning Environment
GIT prioritizes interaction in learning, enabling engagement between participants and instructors in both in-class and online sessions, fostering idea exchange, collaborative projects, and building a network of AI enthusiasts.
WHAT YOU’LL LEARN
The main goal of this course is to familiarize you with all aspects of AI so that you can start your career as an artificial intelligence engineer. Following are the topics/modules that you will learn in the program:
- Develop foundational understanding
- Understand AI’s practically
- Grasp machine learning essentials
- harness machine learning essentials
- uncover neural network dynamics
- navigate advanced AI applications
- evaluate ethical implications
- examine aI in diverse sectors
- explore emerging aI frontiers
- work on a hands-on capstone project
AI COURSE CERTIFICATE
Our extensive program empowers you to thrive in your career by providing essential skills and knowledge. Through a well-structured learning approach and industry-relevant projects, you’ll tackle complex challenges to remain at the forefront.
The certificate demonstrates to potential employers that the student has acquired a specific skill set in AI. This can be a strong addition to their resume.
AI COURSE FEE
Financial Option Available
We have partnered with the following financing companies to provide competitive finance options with no hidden costs..
Course Contents
- Definitions and importance of AI
- Historical milestones in AI
- Major AI achievements and setbacks
- Turing Test and its relevance
- Lab: AI is everywhere! Prediction, cognition and optimization. Opacity and complexity of AI. Importance of Explainability.
- Introduction to statistics and machine learning
- Supervised, unsupervised, and reinforcement learning
- Basic methods: regression, classification, clustering, exploratory data analysis, data visualization, and time series analysis
- Lab: Data analysis, data visualization, and model training using Amruta Inc XAI software.
- Introduction to neural networks: perceptrons and multi-layer networks
- Backpropagation explained
- Convolutional Neural Networks (CNNs) and applications in computer vision
- Recurrent Neural Networks (RNNs) and applications in sequence modeling
- Lab: Image detection.
- Natural Language Processing: tokenization, embeddings and transformers
- Reinforcement learning in-depth
- Robotics: perception, action and control
- Generative models: GANs, VAEs
- Lab: Text classification. Sentiment and emotion recognition. Text
generation/ChatGPT.
- Bias and fairness in AI
- Privacy implications: facial recognition and data collection
- AI in warfare: autonomous weapons
- The future of work: automation vs. augmentation
- Lab: Analyzing bias in datasets and mitigation techniques.
- Healthcare: diagnostics and personalized medicine
- Finance: fraud detection and robo-advisors
- Entertainment: game design and movie recommendations
- Transportation: autonomous vehicles and route optimization
- Lab: Industry-specific project, e.g., building a fraud detection system.
- ChatGPT and Generative AI
- Prompt Engineering
- Edge AI: processing on devices
- AI chips: specialized hardware for AI processing
- Students choose an AI domain to develop a project.
- Daily check-ins, troubleshooting, and mentoring.
- Presentations: Each student/group presents their project.
- Course review and feedback session.
- Final assessment: A combination of project evaluation, written test, and viva.
Prerequisites
The student must have a high school diploma or GED equivalent. Basic python programming and data analysis skills are recommended
CAREER SERVICES
Placement Assistance
Placement opportunities are provided once the learner is moved to the placement pool upon clearing Placement Readiness Test (PRT)
Exclusive access for Job
Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners’ including top start-ups and product companies hiring our learners. portal
Our Alumni Works At
PART OF AI CERTIFICATION PROGRAM
TRAINING AND CERTIFICATION PATH
The global institute of technology (GIT) provides comprehensive training and full-service certification testing in virginia. The program process steps are provided below
STEP 1
Mentored Credential Based Training
STEP 2
Practice labs & exercises
STEP 3
Training Progress Reporting
STEP 4
Testing for industry recognized certifications
Your AI journey begins here. Join us at Git Services, and let's explore the limitless possibilities of Artificial Intelligence together.
Resources
Books: “Artificial Intelligence: A Modern Approach” by Stuart Russell and Peter Norvig; “Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville.
Tools: Amruta Inc AI/ML/explainable AI software.